Journal of Radiation Research and Applied
Sciences
Volume 17, Issue 1, March 2024, 100814
Nuclear security measures: A review of selected
emerging technologies and strategies
Nasser Shubayr
Show more
Outline
Share
Cite
https://doi.org/10.1016/j.jrras.2023.100814
Get rights and content
Under a Creative Commons license
open access
Abstract
This review article delves into the ever-evolving landscape of nuclear security, presenting an overview of
emerging technologies and strategies that have the potential to enhance the safeguarding of nuclear
materials, facilities, and information. With the global security environment continuously evolving, staying
ahead of potential threats to nuclear assets is paramount. This article explores a wide range of cutting-edge
advancements that could revolutionize nuclear security efforts, offering a balanced assessment of their
benefits, and challenges. To facilitate an organized presentation and analysis, the extracted articles were
categorized into distinct sections based on the identified key topics. These categories included "advanced
surveillance and monitoring systems," "cybersecurity and digital protection," "non-destructive evaluation
techniques," "physical security enhancements," "nuclear material characterization nuclear forensics," and
"international collaboration and policy frameworks." Each section was dedicated to exploring the
advancements, challenges, and implications specific to the respective technology or strategy. By offering
this synthesis, the article aims to serve as a strategic resource for policymakers, security professionals, and
researchers, underlining the pivotal role of technology in safeguarding against nuclear threats in an
interconnected world.
Previous
Keywords
Next
Nuclear security; Emerging technologies; Surveillance systems; International collaboration
1. Introduction
In an era characterized by rapid technological advancements and evolving security challenges, the
protection of nuclear assets has become a paramount global concern (Onderco & Zutt, 2021). The potential
catastrophic consequences of nuclear material falling into the wrong hands necessitate constant innovation
in security measures to ensure their safe and secure handling. As the threat landscape continues to evolve,
there is a critical need to comprehensively assess and embrace emerging technologies and strategies that
can strengthen nuclear security efforts (Lovering et al., 2020).
The foundation of effective nuclear security lies in the synergy of robust physical protection, advanced
surveillance, cybersecurity, and international collaboration (R. L. TavaresR.D, & Giozza, 2022). Historically,
the nuclear industry has demonstrated an impressive ability to adapt to new challenges and technological
possibilities. The fusion of cutting-edge technologies with well-established security protocols has the
potential to introduce a new paradigm of resilience against both conventional and unconventional threats
(Fairchild & Valle, 2020; Hawila & Chirayath, 2018; Lovering et al., 2020).
In recent years, technological progress has catalyzed a transformation in surveillance and monitoring
capabilities. Artificial Intelligence (AI) and remote sensing technologies have enabled real-time analysis of
vast amounts of data, facilitating rapid detection of unauthorized access or suspicious activities.
Cybersecurity, an essential pillar of nuclear security in our digital age, faces continuous challenges from
cyber adversaries seeking to exploit vulnerabilities in critical systems (Hellman, 2017; Jang et al., 2022;
Setianingsih et al., 2021). Consequently, understanding the latest developments in digital protection
mechanisms is imperative for safeguarding against potential cyber threats.
The incorporation of non-destructive evaluation techniques has become indispensable for ensuring the
integrity of nuclear materials and infrastructure (Tawfeek et al., 2020). Novel imaging and spectroscopic
methods provide the means to assess the condition of materials without compromising their functionality
(Bhatt et al., 2018; Burger et al., 2021; Lyoussi et al., 2020). Complementing this, advancements in radiation
detection have not only enhanced safety measures but also play a crucial role in nuclear forensics, aiding in
the attribution of illicit nuclear activities.
As the world becomes increasingly interconnected, international cooperation takes on heightened
importance in tackling nuclear security challenges. Collaborative efforts, information sharing, and the
establishment of comprehensive policy frameworks are essential for maintaining a unified approach to
securing nuclear assets (Kuipers & Swinkels, 2018; Sseggane, 2020).
The objective of this review article is to provide an overview of the landscape of emerging technologies and
strategies poised to enhance nuclear security measures. The study aims to offer valuable insights for
policymakers, security practitioners, researchers, and stakeholders involved in nuclear security efforts. In an
age of rapid technological evolution, staying apprised of the latest advancements is not just a necessity but a
strategic imperative for safeguarding our shared global security interests.
2. Method
2.1. Literature search strategy
To comprehensively review the emerging technologies and strategies aimed at enhancing nuclear security
measures, a systematic literature search was conducted. The search was carried out across various academic
databases, including PubMed, IEEE Xplore, ScienceDirect, and Google Scholar, using a combination of
keywords such as "nuclear security," "emerging technologies," "surveillance systems," "cybersecurity,"
"non-destructive evaluation," "physical security," "nuclear forensics," and "international collaboration." The
search encompassed peer-reviewed articles, conference papers, reports, and policy documents published
between 2015 and 2023. The inclusion criteria were set to ensure relevance to the scope of the review,
focusing on recent advancements and their application in nuclear security contexts.
2.2. Data extraction and analysis
The selected articles were screened based on their titles and abstracts to identify those that addressed
emerging technologies and strategies in the field of nuclear security. The full texts of the relevant articles
were then retrieved and subjected to a thorough qualitative analysis. Key information extracted from each
article included the technology or strategy under consideration, its purpose in enhancing nuclear security,
potential benefits, challenges, and real-world applications.
2.3. Categorization of emerging technologies and strategies
To facilitate an organized presentation and analysis, the extracted articles were categorized into distinct
sections based on the identified key topics. These categories included "Advanced Surveillance and
Monitoring Systems," "Cybersecurity and Digital Protection," "Non-Destructive Evaluation Techniques,"
"Physical Security Enhancements," "Nuclear Material Characterization," "Radiation Detection and Nuclear
Forensics," and "International Collaboration and Policy Frameworks." Each section was dedicated to
exploring the advancements, challenges, and implications specific to the respective technology or strategy.
3. Overview of selected emerging technologies and strategies
3.1. Advanced surveillance and monitoring systems
With the increasing threats posed by nuclear terrorism and the potential misuse of radioactive materials,
nuclear security has taken center stage on the global agenda. Ensuring the safety and protection of nuclear
facilities and materials has become a paramount concern for both national security and international
stability. To address this challenge, advanced surveillance and monitoring systems are being developed and
deployed to enhance the tracking, detection, and prevention of unauthorized access and malicious activities
within nuclear facilities. These systems leverage cutting-edge technologies, such as artificial intelligence
(AI), remote sensing, real-time data analytics, and deep learning, to provide comprehensive coverage and
early detection capabilities. This section reviews selected key advancements in the field of advanced
surveillance and monitoring systems, highlighting their contributions to nuclear security.
3.1.1. Remote reactor monitoring and far-field detection
One promising approach to enhancing nuclear security is the remote monitoring of nuclear reactors using
advanced instrumentation. The WATCHMAN (WAter Cherenkov Monitor for ANtineutrinos) project is a
significant endeavor aimed at remotely detecting the presence of undeclared nuclear reactors. The
WATCHMAN project, under construction at the Boulby Underground Laboratory in the UK, employs a
kiloton-scale gadolinium-doped water Cherenkov detector to detect anti-neutrinos emitted by reactors. This
enables the monitoring of nuclear reactors from distances of tens of kilometers, a concept known as far-field
monitoring. The project's objective is to demonstrate the feasibility of detecting reactor operations and
irregularities, contributing to global nuclear security efforts (Grant, 2020).
3.1.2. Mobile sensor networks and anomalous source detection
The challenge of detecting anomalous radioactive sources across large geographical areas has led to
innovative solutions. One such approach combines mobile sensor networks with Poisson kriging, a
statistical technique used to estimate spatial distributions of radiation sources. This innovative method aims
to identify anomalous radiation sources by addressing the uncertainties associated with radiation data,
including background noise and detector velocity. Through simulated experiments with radioactive sources,
the approach demonstrates high accuracy in detecting anomalous sources, especially when source intensity
is high or the source is in close proximity to the detector (Zhao et al., 2019).
3.1.3. Big data analytics for nuclear security
The emergence of big data analytics has presented new opportunities for improving nuclear security
through comprehensive data integration, pattern recognition, and predictive analytics. The lack of
integrated data management in nuclear security systems has been identified as a challenge that hampers
efficient detection of malicious activities. To overcome this limitation, a conceptual framework for big data
analytics in nuclear security has been proposed. This framework aims to integrate data from various nuclear
security systems, enabling more accurate decision-making and efficient detection processes (Ibrahim et al.,
2021).
3.1.4. UAV threat detection and physical protection
The growing threat of civilian unmanned aerial vehicles (UAVs) to nuclear facilities necessitates innovative
strategies for detection and mitigation. A proposed conceptual system architecture addresses this threat by
combining radio frequency (RF) emission and sound event detection with jamming-based physical
protection systems. This approach outlines strategies for real-time alert and response to UAV threats, and it
emphasizes the importance of integrating both destructive and non-destructive techniques for countering
potential UAV attacks (Islam et al., 2018).
3.1.5. International standards for radiation detection instruments
Ensuring the reliability and effectiveness of radiation detection instruments is fundamental to nuclear
security. International standards have been developed to specify minimum performance requirements for
various types of radiation detection instruments, including hand-held devices, alarming personal radiation
devices, portal monitors, and vehicle-mounted systems. These standards are the result of consensus among
experts from different countries and reflect the industry's scientific progress and regulatory needs. The
harmonization of standards across different organizations enhances the global effort to prevent the illicit
trafficking of radioactive materials (M. Voytchev, 2020).
3.1.6. Insider threat detection and prevention
Nuclear security extends beyond external threats to encompass insider threats posed by individuals with
knowledge, access, and authority within nuclear facilities. To address these risks, a multi-faceted approach
is required, including the development of robust security policies, effective monitoring tools, and a strong
security culture (Al-Khodire, 2022). Chen's work demonstrates the potential of real-time hand motion
analysis for detecting malicious behaviors by insiders. By using advanced technologies such as Kinect v2 (a
3D sensor produced to track and analyze movements in real-time), the study explores the feasibility of
identifying suspicious hand motions associated with sabotage activities. Insider threat detection methods,
including those based on motion analysis, contribute to enhancing the overall security posture of nuclear
facilities (Chen & Demachi, 2019). Moreover, lessons learned from insider crimes in non-nuclear fields can
be applied to strengthen the security systems of nuclear facilities. Continuous improvement, comprehensive
security measures, and vigilance are crucial to preventing insider nuclear threats.
3.1.7. AI-driven surveillance
Recent advancements in artificial intelligence, particularly convolutional neural networks (CNNs), have
revolutionized surveillance capabilities. Yan et al. demonstrates the application of CNNs for nuclear
radiation detection in public spaces. Unlike previous methods that relied on complex frame-by-frame
processing, CNNs enable real-time analysis of changing images, enhancing the speed and accuracy of
nuclear threat detection. By training CNNs on actual video images captured in the presence of radioactive
sources, this technology demonstrates high performance and effectiveness in identifying radiation
anomalies (Yan et al., 2022).
3.1.8. Enhanced surveillance through satellite imagery
Commercial satellite imagery has emerged as a valuable tool for nuclear facility monitoring and verification.
The research by Pabian et al. discusses the evolving capabilities of commercial satellite imagery to provide
critical information for nuclear non-proliferation efforts (Pabian et al., 2020). Improved temporal, spatial,
and spectral resolutions from diverse satellite constellations enable remote verification and monitoring,
enhancing global transparency and augmenting open-source information. These advancements contribute
to effective surveillance and timely response to nuclear security challenges.
3.2. Cybersecurity and digital protection
Cybersecurity and digital protection have become critical concerns in the realm of nuclear infrastructure,
given the growing threat of cyberattacks and their potential impact on nuclear facilities. As the significance
of safeguarding nuclear systems from cyber threats increases, organizations involved in the nuclear sector,
including manufacturers, operators, regulators, and research institutes, have recognized the need for
effective cybersecurity measures for critical digital assets within nuclear power plants. This section delves
into the multifaceted issue of cybersecurity in the nuclear domain, exploring innovative approaches to
address these concerns and enhance the protection of critical digital systems against cyberattacks.
3.2.1. Convergence of cybersecurity and nuclear security
The papers analyzed highlight the increasing interconnectedness of cybersecurity and nuclear security,
emphasizing the intrinsic link between these two domains. As nuclear facilities adopt digital technologies to
enhance efficiency and operations, they also become vulnerable to cyber threats that can exploit
vulnerabilities in software, networks, and control systems. This convergence necessitates a holistic approach
that integrates cybersecurity considerations into the existing nuclear security framework. A case study of
Moldova underlines the importance of recognizing cyber threats as an integral part of the nuclear security
domain (Buzdugan & Buzdugan, 2020). This perspective is further supported by Gupta and Bajramovic,
which emphasizes the need to align nuclear safety and security considerations while addressing the
increasing cybersecurity risks faced by nuclear facilities (Gupta & Bajramovic, 2017).
3.2.2. Risk assessment and compliance to regulatory requirements
Effective risk assessment methodologies are crucial for evaluating and mitigating cybersecurity risks in
nuclear facilities. Several papers delve into the development and implementation of risk assessment
methods tailored to the unique challenges of nuclear cybersecurity. A study by Setianingsih et al. highlights
the importance of selecting suitable risk assessment methods that align with both cybersecurity and
nuclear security requirements (Setianingsih et al., 2021). This involves considering defense-in-depth
strategies, safety and security synergies, and probabilistic safety/risk assessment approaches. The
integration of these concepts contributes to a comprehensive evaluation of cybersecurity risks in nuclear
facilities.
3.2.3. Role of artificial intelligence (AI) and big data analytics
The potential of artificial intelligence and big data analytics in enhancing nuclear security is a key area of
exploration in the analyzed papers. A recent research proposes a framework to integrate data from various
sources within nuclear security systems, enabling more accurate pattern identification and informed
decision-making (Ibrahim et al., 2021). Similarly, another study examines the implications of AI in
international nuclear treaties, especially regarding detection of cyberattacks on nuclear systems. The
application of AI has the potential to enhance the identification and response to cyber threats in real-time
(Anastassov, 2021).
3.2.4. Challenges and mitigation strategies
A study by Poornima shed light on the challenges posed by cyber threats to nuclear security and the various
strategies to mitigate these challenges (Poornima, 2022). The study highlights the vulnerability of nuclear
infrastructures to cyber threats due to their strategic significance for national security. It emphasizes the
need for legislative and diplomatic measures to deter cyber threats to India's nuclear infrastructures.
(Gasper & Rodriguez, 2015) underlines the significance of establishing a Cyber Emergency Response Team
(CERT) to address cyber threats and maintain a comprehensive nuclear security posture.
3.2.5. Complex interactions and holistic approaches
In addressing the complex interaction of cyber-physical dynamics within nuclear security systems, a
comprehensive perspective is imperative. Illustrated by Williams et al. (2021), a multilayered network-
based methodology is introduced to comprehend the intricate relationships among infrastructure, physical
and digital elements, and human factors in nuclear security systems, thereby facilitating a thorough
assessment and augmentation of security protocols. This proposition from Sandia National Laboratory
recognizes the multifaceted nature of nuclear security systems and suggests a systems security engineering
approach that encompasses the convergence of safety, safeguards, and security measures. By embracing the
network-based paradigm, this strategy aptly addresses evolving threats, ingenious adversaries, and intricate
risk landscapes, presenting a holistic framework for devising efficacious security remedies (Williams et al.,
2021).
3.3. Non-destructive evaluation techniques
Non-destructive evaluation (NDE) techniques are crucial for assessing the integrity of nuclear materials,
ensuring their security, and preventing unauthorized access. These techniques are particularly important in
applications related to nuclear safeguards, non-proliferation, and overall nuclear security. NDE technologies
provide a means to inspect nuclear materials without causing damage, making them ideal for assessing the
presence and quality of nuclear materials in various contexts.
3.3.1. NDE techniques in nuclear material assessment
A notable development in nuclear material assessment is the use of the differential die-away analysis (DDA)
technique. DDA relies on pulsed neutron sources to quantify the amount of fissile materials in nuclear
samples. Ohzu et al. presented a DDA system with a compact pulsed neutron generator capable of detecting
fissile materials with high sensitivity (A. OhzuM, & KomedaTohKoizumiSeya, 2017). They demonstrated the
ability to quantify materials even in different container sizes using the fast neutron direct interrogation
technique. Ohzu et al. in another study proposed an innovative method to improve the detection limit of
fissile materials using DDA (A. OhzuM, & KomedaToh, 2019). By incorporating neutron absorber sheets on
the inner surface of the measurement space, noise signals were reduced, leading to enhanced sensitivity in
detecting fissile materials. Trombetta et al. introduced fast neutron- and γ-ray coincidence detection as an
effective method for nuclear security and safeguards applications (Trombetta et al., 2019). The method
utilizes passive and active interrogation techniques to evaluate materials for special nuclear content,
providing improved sensitivity and accuracy.
3.3.2. Spectrometric approaches for material characterization
Spectrometric methods play a significant role in non-destructive characterization of nuclear materials.
Tawfeek et al. presented an absolute spectrometric non-destructive analysis method for characterizing
plutonium-bearing materials (Tawfeek et al., 2020). This method involves gamma-ray spectroscopy and
radionuclide analysis to estimate isotopic composition and identify key elements in nuclear samples.
3.3.3. Complex analysis and simulation tools
Advanced analysis and simulation tools are instrumental in assessing the effectiveness of nuclear security
systems. Semi-empirical modeling approaches, as demonstrated by Jennings, offer a rapid means to predict
radiation detection performance in dynamic nuclear security scenarios (Jennings, 2021). Such tools enable
the estimation of detection outcomes without extensive testing, aiding security system optimization.
3.3.4. Integration of NDE techniques in nuclear security systems
The integration of these NDE techniques into nuclear security systems enhances the ability to identify
potential threats, mitigate risks, and respond effectively. Theoretical models and simulations, as well as
empirical measurements, contribute to a comprehensive approach for ensuring nuclear material integrity
and safeguarding against malicious activities.
3.4. Physical security enhancements
Physical security plays a vital role in safeguarding nuclear facilities against potential threats, both from
insiders and outsiders. As nuclear power plants (NPPs) increasingly integrate software-based components
into their operations, the need to enhance physical security measures to protect against malevolent
interferences and cyber-attacks becomes paramount (Lochthofen & Sommer, 2015). This section explores
the advancements in access controls, intrusion detection systems, and perimeter protection solutions aimed
at bolstering the physical security of nuclear sites.
3.4.1. Advancements in access controls
Access controls are critical components of nuclear facility security, aiming to prevent unauthorized
personnel from entering restricted areas. Traditional access control mechanisms have evolved to include
next-generation technologies that enhance authentication and authorization processes. The use of
biometric identifiers, such as fingerprint scans and iris recognition, is becoming more prevalent to ensure
the identity of individuals accessing sensitive areas (Cho & Woo, 2017). Furthermore, the integration of
multifactor authentication, such as combining biometrics with access cards and PINs, provides an added
layer of security. This approach minimizes the risk of unauthorized access due to stolen credentials or
compromised access cards (Andiwijayakusuma et al., 2021). Additionally, advanced access controls leverage
real-time monitoring and integration with video surveillance systems to detect anomalies and respond
promptly to unauthorized access attempts (Arwui et al., 2017).
3.4.2. Intrusion detection systems
Intrusion detection systems (IDS) play a vital role in identifying and alerting security personnel to potential
breaches. Modern IDS employ a combination of sensors, including motion detectors, seismic sensors, and
acoustic sensors, to detect unauthorized movements or disturbances within secure perimeters (Kabach,
2020). These sensors are often integrated into a centralized security management system that provides realtime alerts and facilitates immediate responses. Machine learning algorithms have found applications in
IDS, enabling the system to learn and adapt to changing threat patterns. By analyzing historical data and
identifying unusual behaviors, machine learning algorithms can enhance the accuracy of intrusion detection
and reduce false alarms (Syuryavin et al., 2020).
3.4.3. Perimeter protection solutions
Perimeter protection is crucial for preventing unauthorized access to nuclear sites. Traditional physical
barriers, such as fences and walls, are now reinforced with advanced technologies to create multilayered
defense systems. Sensor-based technologies, such as fiber-optic cables and microwave sensors, can detect
disturbances along the perimeter and provide early warnings to security personnel (Woo, 2013). Thermal
cameras and video analytics systems enhance visibility during low-light conditions and can identify
intruders by analyzing their movement patterns (R. L. TavaresR.D, & Giozza, 2022). Furthermore, some
nuclear facilities are exploring the use of unmanned aerial vehicles (UAVs) equipped with surveillance
cameras to monitor the perimeter from above. These UAVs can provide real-time video feeds to security
personnel and aid in identifying potential threats (Singh, 2021).
3.4.4. Integrating cybersecurity and physical protection
As nuclear facilities become increasingly digitized, the integration of cybersecurity and physical protection
becomes paramount. The study by Lochthofen and Sommer emphasizes the importance of implementing
computer security measures alongside conventional physical protection strategies. With the proliferation of
software-based systems, the risk of cyberattacks on nuclear power plants has risen. The authors highlight
the need to expand security management processes to encompass cybersecurity aspects, safeguarding
against potential digital threats. (Lochthofen & Sommer, 2015). In addition, the study by Tavares et al.
evaluates the effectiveness of physical protection systems against cyber-physical attacks. By modeling
nuclear facility systems and assessing the impacts of cyber-attacks on physical protection measures, the
research highlights the vulnerabilities introduced by combined cyber-physical threats. The findings
underscore the need for comprehensive security strategies that consider both cyber and physical
dimensions to ensure reliable protection (R. L. TavaresR.D, & Giozza, 2022).
3.4.4.1. Risk assessment and physical protection
The paper by Arwui et al. presents a Design Basis Threat (DBT) assessment methodology, correlating risk
and security systems (Arwui et al., 2017). This approach facilitates planning for physical protection systems
by aligning security measures with specific radioactive source-related risks. The methodology assists in the
evaluation and implementation of security measures that are proportionate to the identified risks,
enhancing the overall effectiveness of physical protection systems.
3.4.5. 4.4 integration and holistic approaches
An effective physical security enhancement strategy involves the integration of access controls, intrusion
detection systems, and perimeter protection solutions into a unified security management system. This
approach ensures that security personnel have a comprehensive overview of the facility's security status
and can respond promptly to any threats (Kim et al., 2017). To optimize the performance of these physical
security enhancements, a risk-based approach is recommended. By conducting thorough risk assessments
and identifying vulnerable areas, nuclear facilities can allocate resources strategically and prioritize the
implementation of security measures where they are needed the most (Klinger, 2016).
3.5. Nuclear material characterization and nuclear forensics
Nuclear material characterization and nuclear forensics are critical components of maintaining nuclear
security and accountability. Advancements in isotopic analysis and material fingerprinting techniques have
played a significant role in enhancing our ability to trace and attribute nuclear materials. This section
explores the latest developments in non-destructive spectrometric approaches, laser-based microphotonic
techniques, machine learning-enabled spectroscopy, and other innovative methods that contribute to the
field of nuclear forensics. Nuclear materials, such as plutonium (Pu), uranium (U), and other radioactive
substances, are essential components of various applications, including nuclear energy, research, and
medical uses. However, the misuse or diversion of these materials poses a significant threat to global
security. Therefore, robust measurement systems that can characterize and identify unknown nuclear
materials are vital to ensure the proper control and accountability of these substances.
3.5.1. Non-destructive spectrometric approaches
Tawfeek et al. emphasized the importance of a robust measurement system capable of characterizing
nuclear materials. Their study presented an absolute spectrometric non-destructive analysis (NDA) method
for the characterization of plutonium-bearing materials using gamma-ray spectra obtained from a high
purity germanium detector (Tawfeek et al., 2020). The method successfully estimated the isotopic
composition of assayed samples, showcasing its potential for nuclear forensic purposes.
3.5.2. Laser-based microphotonic techniques
Rapid and non-invasive detection of nuclear materials has been a challenge in nuclear forensics. In
response, researchers have explored the combined potential of chemometrics-enabled Laser-Induced
Breakdown Spectroscopy (LIBS) and laser Raman spectromicroscopy (LRS) for rapid nuclear forensics
analysis and attribution. LIBS was employed for uranium detection, while LRS was used to identify
molecular signatures in uranium compounds, allowing for rapid analysis of nuclear materials under
concealed conditions (B. BhattAngeyo, 2019; Bhatt et al., 2017).
3.5.3. Machine learning-enabled spectroscopy
Bhatt et al. highlighted the use of machine learning (ML) techniques to enhance nuclear forensics analysis
using LIBS (B. BhattAngeyo, 2019). The study developed ML-enabled calibration models to predict trace
uranium concentrations in various samples, demonstrating the potential of ML to model noisy LIBS spectra
for quantitative analysis and source attribution.
3.5.4. Multispectral imaging and colorimetry
Image texture analysis and colorimetry have been investigated as potential tools for categorizing uranium
ore concentrates (UOCs). A recent study demonstrated the use of image texture analysis combined with
spectrophotometric color determination to evaluate the origin of different UOCs. Multivariate statistical
techniques allowed the categorization of various UOC samples into distinct groups based on their
characteristics, showing promise as a complementary method in nuclear forensics (Lyoussi et al., 2020).
3.5.5. Innovations in material chronometry
Peskie and Hall proposed using radiation damage caused by the decay of uranium isotopes as a potential
metal chronometer for nuclear forensics. This method involves examining the effects of radiation damage in
the microstructure of metal samples, specifically the damage caused by the decay of uranium isotopes. The
total damage experienced by the metal or alloy, which arises from all the isotopes of uranium and their
progeny present in the sample, is expected to be dominated by α-particle (and affiliated recoil) interactions.
For an interdicted sample in which these radionuclides can be measured with high accuracy, the evolution
of radiation damage can serve as a chronometer to the time since casting or forming. This method draws
parallels from fission track dating studies of mineral samples under geologic time and proposes
modifications to past publications on α-recoil track dating in order to determine the time since a metal
sample was cast or formed. This enhanced nuclear forensics capability to determine the material's critical
parameters, such as its timeline of processing, would support nuclear forensic experts when they
investigate seized illicit materials (Peskie & Hall, 2015).
3.5.6. Advancements in national and international collaboration
International collaboration and the development of national nuclear forensics libraries (NFLs) have become
essential components of nuclear security efforts. Kimura et al. described the development of a prototype
NFL in Japan, which provides an organized collection of data and information about nuclear and radioactive
materials for use in nuclear forensics analysis (Kimura et al., 2017). Moreover, the use of self-evaluation
tools for assessing nuclear forensics capabilities contributes to enhancing national and regional readiness in
nuclear security (Zaharudin & Pengvanich, 2019).
Advancements in nuclear material characterization and nuclear forensics techniques have significantly
improved our ability to trace and attribute nuclear materials, contributing to global nuclear security efforts.
Non-destructive spectrometric approaches, laser-based microphotonic techniques, machine learningenabled spectroscopy, multispectral imaging, material chronometry, and international collaboration have all
played vital roles in strengthening our capabilities to prevent illicit trafficking and malicious use of nuclear
materials.
3.6. International collaboration and policy frameworks
Nuclear security is a paramount global concern that transcends national boundaries and necessitates
coordinated international efforts to ensure the prevention of nuclear terrorism and the illicit trafficking of
nuclear materials. As the threat of nuclear terrorism continues to evolve in an increasingly interconnected
world, the significance of international collaboration and robust policy frameworks becomes ever more
pronounced. This section explores into the importance of global cooperation in nuclear security efforts,
discussing international initiatives and policy frameworks that facilitate information sharing, best practices,
and the establishment of a cohesive nuclear security regime.
3.6.1. Strengthening regional and international cooperation
The Asia-Pacific region presents a unique context for fostering international cooperation on nuclear security.
Trajano and Anthony underscore the potential of regional action plans and roadmaps to facilitate
collaboration within the Asia-Pacific region (Trajano & Caballero-Anthony, 2020). The authors recommend
mechanisms such as regional capacity building, networks of nuclear security centers of excellence, and
enhanced nuclear emergency preparedness to institutionalize cooperation among states, particularly within
the Association of Southeast Asian Nations (ASEAN).
In a broader international context, the XIX Edoardo Amaldi Conference proceedings emphasize the role of
scientific community actions and international cooperation in enhancing nuclear safety, security,
safeguards, and non-proliferation (Maiani et al., 2016). The contributions of various stakeholders, including
states, international organizations, and the scientific community, are integral to shaping effective policies
that synergize safety, security, and safeguards.
3.6.2. Leadership and coordination in nuclear security
The International Atomic Energy Agency (IAEA) stands as a central figure in advancing international
collaboration on nuclear security. Johnson emphasizes the pivotal role of the IAEA in strengthening the
nuclear security framework and coordinating global activities in this domain (Johnson, 2015). The agency's
leadership helps states fulfill their nuclear security responsibilities, even as the threat of nuclear terrorism
emerges as a critical global challenge.
The Global Initiative to Combat Nuclear Terrorism (GICNT), founded by the United States and Russia,
exemplifies the potential of diplomatic efforts to promote international cooperation in nuclear security.
(Korbatov et al., 2015) advocate for global collaboration within the existing nuclear security architecture and
highlight the IAEA's suitability to lead such efforts. The GICNT serves as a platform for enhancing
cooperation among nuclear powers and driving collective action to prevent nuclear terrorism.
3.6.3. International summits and crisis management
International summits offer opportunities for collaborative crisis management in nuclear security. Kuipers
and Swinkels analyze the Nuclear Security Summit and the G20 Summit as case studies, emphasizing the
importance of diverse stakeholder inclusion, equitable distribution of power and resources, and network
leadership in managing security crises (Kuipers & Swinkels, 2018). Such collaborative approaches are vital
for ensuring effective preparedness and response to latent crises.
3.6.4. Policy initiatives and learning from nuclear security summits
Policy initiatives and learning from nuclear security summits have played a significant role in advancing
international cooperation. Gill highlights the catalytic effect of the 2010 Nuclear Security Summit in
expanding international cooperation beyond bilateral frameworks (Gill, 2019). Leadership from the United
States was pivotal in fostering participation and commitment from diverse stakeholders, resulting in
substantive progress captured in communiqués, work plans, and initiatives that aimed at securing
vulnerable nuclear material.
3.6.5. Institutional design and future pathways
The challenges of institutional design and balancing state interests are critical considerations in nuclear
security cooperation. (Kreps, 2018) emphasizes the delicate balance between legalized agreements,
commitment credibility, and bargaining dynamics in the context of arms control negotiations.
Understanding the intricacies of institutional design is essential for formulating effective policies that
encourage state compliance and cooperation. Looking forward, a study by Giovannini presents a new
pathway for enhancing the global nuclear security framework through regional disaster preparedness and
risk management organizations (DPRMOs) (Giovannini, 2016). These institutions indirectly contribute to a
cohesive global nuclear security framework by strengthening states' capacity to assess risks, vulnerabilities,
and appropriate responses. This approach complements existing approaches by promoting awareness and
tailored risk assessments, thereby supporting national-level responses to nuclear terrorism threats.
4. Conclusion
This review article has examined the advancements in enhancing nuclear security measures through a
range of emerging technologies and strategies. The evolving landscape of nuclear threats, encompassing the
potential misuse of radioactive materials, cyberattacks, and insider threats, underscores the urgency of
fortified security frameworks. Advanced surveillance and monitoring systems, empowered by cutting-edge
technologies like artificial intelligence and real-time data analytics, have emerged as crucial tools for
proactive threat detection and prevention within nuclear facilities. The convergence of cybersecurity and
digital protection has been explored to safeguard critical digital assets against the escalating risk of
cyberattacks. Non-destructive evaluation techniques have proven pivotal in ensuring the integrity of nuclear
materials and preventing unauthorized access, while concurrent advancements in physical security
measures are imperative in the face of hybrid threats that blend physical and cyber intrusions. The
integration of nuclear material characterization and nuclear forensics techniques amplifies our capacity to
trace, identify, and attribute nuclear materials, thus augmenting global security and accountability efforts.
Lastly, the article underscores the international dimension of nuclear security, advocating for collaborative
frameworks and policy initiatives that foster collective action and information sharing in the pursuit of a
secure and stable global nuclear landscape. Through this multifaceted exploration of technologies and
strategies, the article underscores the critical importance of a holistic approach to nuclear security in an
increasingly complex and interconnected world.
Declaration of competing interest
The author declares that the research was conducted in the absence of any commercial or financial
relationships that could be construed as a potential conflict of interest.
Acknowledgements
The authors extend their appreciation to the Deputyship for Research and Innovation, Ministry of Education
in Saudi Arabia for funding this research work through the project number ISP-2024.
Special issue articles
Recommended articles
References
Al-Khodire, 2022 H. Al-Khodire
Nuclear security against insider smuggling: Review and recommendations, international
conference on nuclear engineering
American Society of Mechanical Engineers (2022)
V005T005A058
Google Scholar
Anastassov, 2021 A. Anastassov
Artificial intelligence and its possible use in international nuclear security law
BAS Humanities and Social Sciences, 1 (2021), pp. 92-103
Google Scholar
Andiwijayakusuma et al., 2021 D. Andiwijayakusuma, A. Mardhi, T. Asmoro, T. Setiadipura, A. Purqon, Z. Su’ud
Physical protection system effectiveness calculation in nuclear reactor facility using EASI
code: Case study sabotage scenario
Journal of physics: Conference series 2072 (2021), 10.1088/1742-6596/2072/1/012010
Google Scholar
Arwui et al., 2017 C.C. Arwui, V. Tshivhase, R. Nchodu
A DBT for the irradiation facility at centre of applied radiation science and technology,
mafikeng, South Africa
South African crime quarterly (2017), 10.17159/2413-3108/2018/v0n61a1566
Google Scholar
Bhatt and Angeyo, 2019 B. Bhatt, A.D.-k.K.H. Angeyo
Rapid nuclear forensics analysis via machine-learning-enabled laser-induced breakdown
spectroscopy (LIBS)
Women IN PHYSICS: 6th IUPAP international conference on women in physics (2019), 10.1063/1.5110124
Google Scholar
Bhatt et al., 2017 B. Bhatt, K.H. Angeyo, A. Dehayem- Kamadjeu
Rapid nuclear forensics analysis via laser based microphotonic techniques coupled with
chemometrics
Energy Procedia, 127 (2017), pp. 76-86, 10.1016/j.egypro.2017.08.072
View PDF
View article
View in Scopus
Google Scholar
Bhatt et al., 2018 B. Bhatt, K. Hudson Angeyo, A. Dehayem-Kamadjeu
LIBS development methodology for forensic nuclear materials analysis
Analytical Methods, 10 (2018), pp. 791-798, 10.1039/c7ay02520c
View in Scopus
Google Scholar
Burger et al., 2021 M. Burger, L.A. Finney, L. Garrett, S.S. Harilal, K.C. Hartig, J. Nees, P.J. Skrodzki, X. Xiao, I. Jovanovic
Laser ablation spectrometry for studies of uranium plasmas, reactor monitoring, and
spent fuel safety
Spectrochimica Acta Part B: Atomic Spectroscopy, 179 (2021), 10.1016/j.sab.2021.106095
Google Scholar
Buzdugan and Buzdugan, 2020 A. Buzdugan, A. Buzdugan
The synergy between cyber and nuclear security. Case study of Moldova
A. Sidorenko, H. Hahn (Eds.), Functional nanostructures and sensors for CBRN defence and environmental
safety and security, Springer Netherlands, Dordrecht (2020), pp. 223-231
CrossRef
View in Scopus
Google Scholar
Chen and Demachi, 2019 S. Chen, K. Demachi
Proposal of an insider sabotage detection method for nuclear security using deep learning
Journal of Nuclear Science and Technology, 56 (2019), pp. 599-607, 10.1080/00223131.2019.1611501
Google Scholar
Cho and Woo, 2017 H.S. Cho, T.H. Woo
Cyber security in nuclear industry – analytic study from the terror incident in nuclear
power plants (NPPs)
Annals of Nuclear Energy, 99 (2017), pp. 47-53, 10.1016/j.anucene.2016.09.024
View PDF
View article
View in Scopus
Google Scholar
Fairchild and Valle, 2020 G. Fairchild, S.Y.D. Valle
2. Deployable predictive maintenance strategy based on models developed to monitor
assets in nuclear power plants
Environmental Science (2020)
Google Scholar
Gasper and Rodriguez, 2015 P.D. Gasper, J.G. Rodriguez
Understanding the value of a computer emergency response capability for nuclear
security
(2015)
Google Scholar
Gill, 2019 A.S. Gill
The 2010 nuclear security summit at Washington
Nuclear Security Summits (2019)
Google Scholar
Giovannini, 2016 F. Giovannini
A new pathway to enhance the nuclear security regime
(2016)
Google Scholar
Grant, 2020 C. Grant
Watchman: A remote reactor monitor and advanced instrumentation testbed
Journal of physics: Conference series 1468 (2020), 10.1088/1742-6596/1468/1/012182
Google Scholar
Gupta and Bajramovic, 2017 D. Gupta, E. Bajramovic
Security culture for nuclear facilities
(2017)
Google Scholar
Hawila and Chirayath, 2018 M.A. Hawila, S.S. Chirayath
Combined nuclear safety-security risk analysis methodology development and
demonstration through a case study
Progress in Nuclear Energy, 105 (2018), pp. 153-159, 10.1016/j.pnucene.2018.01.005
View PDF
View article
View in Scopus
Google Scholar
Hellman, 2017 M.E. Hellman
Cybersecurity, nuclear security, alan turing, and illogical logic
Communications of the ACM, 60 (2017), pp. 52-59, 10.1145/3104985
View in Scopus
Google Scholar
Ibrahim et al., 2021 M. Ibrahim, S.N. Hamdan, S.i. Ismail, M.F. Haris, M.S. Sulaiman, S.N.M. Aris, M.H.B. Hasan, M.D.A.
Aslan, N.F.A. Ghani, A.H.A. Hamid
Big data analytics nuclear security framework
IOP Conference Series: Materials Science and Engineering, 1106 (2021), 10.1088/1757-899x/1106/1/012026
Google Scholar
Islam et al., 2018 M.S. Islam, M.M. Ahmed, S. Islam
A conceptual system architecture for countering the civilian unmanned aerial vehicles
threat to nuclear facilities
International Journal of Critical Infrastructure Protection, 23 (2018), pp. 139-149, 10.1016/j.ijcip.2018.10.003
View PDF
View article
View in Scopus
Google Scholar
Jang et al., 2022 K.B. Jang, C.H. Baek, T.H. Woo
Assessment for nuclear security using Analytic Hierarchy Process (AHP) incorporated with
Neural Networking Method in nuclear power plants (NPPs)
Kerntechnik, 87 (2022), pp. 607-614, 10.1515/kern-2022-0040
View in Scopus
Google Scholar
Jennings, 2021 B. Jennings
Semi-empirical modeling to predict radiation detection performance for dynamic nuclear
security
(2021)
Google Scholar
Johnson, 2015 P.L. Johnson
Facilitating the entry into force and implementation of the amendment to the convention
on the physical protection of nuclear material
Nuclear Law Bulletin, 2014 (2015), pp. 9-42, 10.1787/nuclear_law-2014-5jrtpt21g70p
Google Scholar
Kabach, 2020 O. Kabach
Physical protection system, corrective actions, and weaknesses identification based on
nuclear security series: The hypothetical atomic research institute (HARI) case
International Journal of Nuclear Security, 6 (2020), p. 4, 10.7290/ijns
View in Scopus
Google Scholar
Kim et al., 2017 K.-N. Kim, M.-S. Yim, E. Schneider
A study of insider threat in nuclear security analysis using game theoretic modeling
Annals of Nuclear Energy, 108 (2017), pp. 301-309, 10.1016/j.anucene.2017.05.006
View PDF
View article
View in Scopus
Google Scholar
Kimura et al., 2017 Y. Kimura, N. Shinohara, Y. Funatake
Development of prototype nuclear forensics library for nuclear materials and
radioisotopes in Japan Atomic Energy Agency
Energy Procedia, 131 (2017), pp. 239-245, 10.1016/j.egypro.2017.09.433
View PDF
View article
View in Scopus
Google Scholar
Klinger, 2016 J.G. Klinger
Enhanced radioactive material source security
Health Physics, 110 (2016), pp. 161-167, 10.1097/HP.0000000000000397
View in Scopus
Google Scholar
Korbatov et al., 2015 A.B. Korbatov, E. Suzuki, B.L. Goldblum
The fight against nuclear terrorism needs global cooperation—and the IAEA
Bulletin of the Atomic Scientists, 71 (2015), pp. 67-76, 10.1177/0096340215590795
View in Scopus
Google Scholar
Kreps, 2018 S.E. Kreps
The institutional design of arms control agreements
Foreign Policy Analysis, 14 (2018), pp. 127-147, 10.1093/fpa/orw045
Google Scholar
Kuipers and Swinkels, 2018 S. Kuipers, M. Swinkels
Peak performance: Collaborative crisis management before and during international
summits
International Journal of Emergency Management, 14 (2018), 10.1504/ijem.2018.097364
10.1504/IJEM.2018.097364
Google Scholar
Lochthofen and Sommer, 2015 A. Lochthofen, D. Sommer
Implementation of computer security at nuclear facilities in Germany
Progress in Nuclear Energy, 84 (2015), pp. 103-107, 10.1016/j.pnucene.2014.12.016
View PDF
View article
View in Scopus
Google Scholar
Lovering et al., 2020 J.R. Lovering, A. Abdulla, G. Morgan
Expert assessments of strategies to enhance global nuclear security
Energy Policy, 139 (2020), Article 111306
View PDF
View article
View in Scopus
Google Scholar
Lyoussi et al., 2020 A. Lyoussi, M. Marchetti, K. Mayer, M. Wallenius, A. Bulgheroni, T. Wiss, K. Lützenkirchen, L.
Fongaro, M. Giot, M. Carette, I. Jenčič, C. Reynard-Carette, L. Vermeeren, L. Snoj, P. Le Dû
Image texture analysis and colorimetry for the classification of uranium ore concentrate
powders
EPJ web of conference 225 (2020), 10.1051/epjconf/202022507003
10.1051/epjconf/202022507003
Google Scholar
Maiani et al., 2016 L. Maiani, S. Abousahl, W. Plastino
International cooperation for enhancing nuclear safety, security, safeguards and non-proliferation :
Proceedings of the XIX Edoardo Amaldi conference, Accademia Nazionale dei Lincei, Rome, Italy (2016)
March 30-31, 2015
Google Scholar
Ohzu et al., 2019 A. Ohzu, M. M, M. Komeda, Y. Toh
Improvement of detection limit in differential die-away analysis system for nuclear nonproliferation and nuclear security
Nuclear science symposium and medical imaging conference (2019), 10.1109/NSS/MIC42101.2019.9059900
Google Scholar
Ohzu et al., 2017 A. Ohzu, M. M, M. Komeda, Y. Toh, M. Koizumi, M. Seya
Development of differential die-away technique in an integrated active neutron NDA
system for nuclear non-proliferation and nuclear security
Nuclear science symposium and medical imaging conference (2017), 10.1109/NSSMIC.2017.8532755
Google Scholar
Onderco and Zutt, 2021 M. Onderco, M. Zutt
Emerging technology and nuclear security: What does the wisdom of the crowd tell us?
Contemporary Security Policy, 42 (2021), pp. 286-311
CrossRef
View in Scopus
Google Scholar
Pabian et al., 2020 F.V. Pabian, G. Renda, R. Jungwirth, L.K. Kim, E. Wolfart, G.G.M. Cojazzi, W.A. Janssens
Commercial satellite imagery: An evolving tool in the non-proliferation verification and
monitoring toolkit
(2020)
Google Scholar
Peskie and Hall, 2015 E.L. Peskie, H.L. Hall
Radiation damage as a possible metal chronometer for pre-detonation nuclear forensics
International Journal of Nuclear Security, 1 (2015), p. 10, 10.7290/v7w66hpt
7290/V7297W7266HPT
Google Scholar
Poornima, 2022 B. Poornima
Cyber threats and nuclear security in India
Journal of Asian Security and International Affairs, 9 (2022), pp. 183-206, 10.1177/23477970221099748
View in Scopus
Google Scholar
Setianingsih et al., 2021 L.S. Setianingsih, R. Pulungan, A.E. Putra, M.E. Wibowo, Syarip
Risk assessment methods for cybersecurity in nuclear facilities: Compliance to regulatory
requirements
International Journal of Advanced Computer Science and Applications, 12 (2021),
10.14569/ijacsa.2021.0120979
10.14569/ijacsa.12021.0120979
Google Scholar
Singh, 2021 S. Singh
Nuclear security architecture & radiological disaster response in India progress and
challenges
Defence Life Science Journal, 6 (2021), pp. 37-42, 10.14429/dlsj.6.16667
View in Scopus
Google Scholar
Sseggane, 2020 R. Sseggane
Coordination of inter-agency action for nuclear security in Uganda
International Journal of Nuclear Security (2020), 10.7290/ijns060105
10.7290/ijns060105
Google Scholar
Syuryavin et al., 2020 A.C. Syuryavin, S.H. Lee, N.S. Syam
Nuclear security system effectiveness assessment using bounded analysis approach: A
case study of different adversary scenarios
Journal of Nuclear Science and Technology, 57 (2020), pp. 1131-1139, 10.1080/00223131.2020.1771229
View in Scopus
Google Scholar
Tavares et al., 2022 R.L. Tavares, O.A. Robson de, W. Giozza
Effectiveness evaluation of a nuclear facility security system under a cyber-physical attack
scenario
Iberian conference on information systems and technologies (2022), 10.23919/cisti54924.2022.9820179
10.23919/cisti54924.22022.9820179
Google Scholar
Tawfeek et al., 2020 M. Tawfeek, W. El-Gammal, H.M. Abu-Zied, A. Nada, Z.F.K. Hassan, F. Ragab
Characterization of Pu-bearing materials by non-destructive spectrometric approach:
Relevance for nuclear forensics
Journal of Scientific Research in Science, 37 (2020), pp. 61-72, 10.21608/jsrs.2020.129914
Google Scholar
Trajano and Caballero-Anthony, 2020 J.C. Trajano, M. Caballero-Anthony
The future of nuclear security in the asia-pacific: Expanding the role of Southeast Asia
International Journal of Nuclear Security (2020), 10.7290/ijns060208
10.7290/ijns060208
Google Scholar
Trombetta et al., 2019 D.M. Trombetta, M. Klintefjord, K. Axell, B. Cederwall
Fast neutron- and γ-ray coincidence detection for nuclear security and safeguards
applications
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and
Associated Equipment, 927 (2019), pp. 119-124, 10.1016/j.nima.2019.01.081
View PDF
View article
View in Scopus
Google Scholar
Voytchev and AuthorAnonymous, 2020 M. Voytchev, R. R
International standards for the performance of radiation detection instruments used in
the global nuclear security framework
International conference on nuclear security: Sustaining and strengthening efforts, ICONS. IAEA, Vienna (2020)
Google Scholar
Williams et al., 2021 A.D. Williams, B.B. Cipiti, A. Evans
The inmm & esarda joint virtual meeting A SYSTEMS-THEORETIC framing for an integrated
nuclear energy safety, safeguards, and security (3S
APPROACH (2021)
Google Scholar
Woo, 2013 T.H. Woo
Systems thinking safety analysis: Nuclear security assessment of physical protection
system in nuclear power plants
Science and Technology of Nuclear Installations, 2013 (2013), Article 473687, 10.1155/2013/473687
View in Scopus
Google Scholar
Yan et al., 2022 Z. Yan, Z. Zhang, S. Xu, J. Ma, Y. Hou, Y. Ji, L. Sun, T. Dai, Q. Wei
Nuclear radiation detection based on the convolutional neural network under public
surveillance scenarios
Open Physics, 20 (2022), pp. 49-57, 10.1515/phys-2022-0006
View in Scopus
Google Scholar
Zaharudin and Pengvanich, 2019 N.I. Zaharudin, P. Pengvanich
A self-evaluation tools for the assessment of nuclear forensic capability
Journal of Physics: Conference Series, 1198 (2019), 10.1088/1742-6596/1198/2/022014
Google Scholar
Zhao et al., 2019 J. Zhao, Z. Zhang, C.J. Sullivan
Identifying anomalous nuclear radioactive sources using Poisson kriging and mobile
sensor networks
PLoS One, 14 (2019), Article e0216131, 10.1371/journal.pone.0216131
View in Scopus
Cited by (0)
Google Scholar
© 2024 The Author. Published by Elsevier B.V. on behalf of The Egyptian Society of Radiation Sciences and Applications.
All content on this site: Copyright © 2024 Elsevier B.V., its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar
technologies. For all open access content, the Creative Commons licensing terms apply.