Recent Technologies in Cybersecurity
Dr. Nancy Agnes, Head, Technical Operations, Tutorsindia info@ tutorsindia.com
I. INTRODUCTION
As digital gadgets ruling the globe, a massive amount
of data generating per second is unimaginable.
Manipulating and handling the data by data
specialists and data scientist is the huge process.
Processing the data and concluding the required
results is vital. But providing data security in the
vulnerable world becomes a tedious one. As we are
vulnerable in the digital era, protecting us from the
vulnerabilities is cannot manageable. This blog will
enhance the scope and need for Cybersecurity in the
statistical and analytical arena. [1]
II. RECENT TECHNOLOGIES IN
CYBERSECURITY
As the threats and risks in the cyber world is rapidly
increasing, to assess those threats and risks through
certain new technologies. Those technologies can be
accessed by Whitehat cybersecurity specialists who
provide security for the users and data.
1. GDPR SPREAD AROUND THE WORLD:
Personal information must be a high priority for
online companies. With the increasing number of data
leaks, ignoring data privacy issues is becoming more
difficult. [2]
 Individuals must be aware of how businesses can
use their personal information.
 Data encryption that is both strong and reliable is
a must.
 They should be able to opt-out of sharing their
personal information.
 Companies must notify their customers of data
breaches within a certain amount of time when
they occur.
2. DATA BREACHES AND PHISHING:
One of the most important developments in
Cybersecurity is the prevention of phishing attacks.
It's been on the radar of cybersecurity trends for quite
some time and isn't going anywhere anytime soon.
Victims are often being duped into turning over
sensitive information, various types of passwords
(such as a login), and sending money directly to
cybercriminals.
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SMS, chats on social media sites like Facebook or
LinkedIn, and phone calls involving a real human
are among the other exponentially increasing
phishing platforms. [3]
3. CYBERSECURITY SKILLS IS HUGE:
The market for cybersecurity experts would
outnumber availability by a factor of ten. Another
reason to be concerned about this cybersecurity
development is the growing amount of threats that
security teams must deal with on a daily basis. [4]
Using automatic security systems is one way to get
out of this situation.
Such well-known data protection techniques are as
follows:
Bricata
BluVector
Cloud Defender
Cofense Triage
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4. ISSUES IN CLOUD SECURITY:
Every bit of records and nearly all business
processes and technology have been migrated to
the cloud. If the number of cloud-related threats
grows, cloud defence becomes another ambitious
development in the cybersecurity industry. [5]
Data breaches pose a threat to SMBs and
businesses alike, due to improperly encrypted data
and unauthorised services that end-users can
quickly instal.
automatically modified, as well as diagnostic and
forensics review for Cybersecurity. AI and machine
learning maybe some of the most important
elements.
REFERENCES
1. Obaidat, Mohammad S., Issa Traore, and Isaac
Woungang, eds. Biometric-based physical and
Cybersecurity
systems.
Cham:
Springer
International Publishing, 2019.
2. Lu, Yang, and Li Da Xu. "Internet of Things
(IoT) cybersecurity research: A review of current
research topics." IEEE Internet of Things
Journal 6.2 (2018): 2103-2115.
3. Asghar, Muhammad Rizwan, Qinwen Hu, and
Sherali Zeadally. "Cybersecurity in industrial
control systems: Issues, technologies, and
challenges." Computer
Networks 165
(2019):
106946.
4. Geluvaraj, B., P. M. Satwik, and TA Ashok
Kumar. "The future of cybersecurity: Major role of
artificial intelligence, machine learning, and deep
learning in cyberspace." International Conference
on Computer Networks and Communication
Technologies. Springer, Singapore, 2019.
5. West, Jason. "A prediction model framework for
cyber-attacks
to
precision
agriculture
technologies." Journal of Agricultural & Food
Information 19.4 (2018): 307-330.
6. Toch, Eran, et al. "The privacy implications of
cyber security systems: A technological
survey." ACM Computing Surveys (CSUR) 51.2
(2018): 1-27.
III. FUTURE SCOPE
1.
Hardware
authentication:
Hardware
authentication is the way of the future when it
comes to cryptography. This user authentication
method is based on a computer, such as a
smartphone, laptop, or some other hardware
machine owned by an authenticated user. This
method may be in the form of a simple password or
fingerprints to access the computer. [6]
2. Artificial Intelligence and Machine Learning:
AI is described as a technology that attempts to
mimic human performance by learning,
concluding, interpreting complex information,
conversing naturally with people, improving human
cognitive performance, and, most importantly,
replacing humans in the execution of non-routine
tasks.
3. Adaptive Neural Networks:
Automated networks have the potential to
transform the world of Cybersecurity. Scanning
and tracking of linked networks can be automated,
and deviations and disturbances can be reported
real-time. Network, endpoint, firewalls, payload,
and anti-virus protection system layers are
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