International Journal of Advancements in Research & Technology, Volume 4, Issue 8, August -2015
ISSN 2278-7763
78
SECURITY VIOLATION MANAGEMENT IN CLOUD BASED E-COMMERCE NETWORK USING
PROCEDURAL SERVICE TAGGING TECHNIQUE
Mbachu C.B¹. Chukwurah E.E ², Okafor K.C. ³
1,&2
Department of Electrical and Electronic Engineering, Anambra State University, Uli.Anambra State, Nigeria
3
Department. of Electrical Electronic Engineering, Federal university of Technology, Owerri, Imo State Nigeria
Email:dambac614@gmail.comk 1, messiahmessiah9@yahoo.com ², kennedy.okafor@futo.edu.ng ³
Abstract
E-Commerce platform represents a computation environment for myriads of web buying and selling transactions on
demand. Interestingly, the system architecture for e-commerce domain forms a vulnerable point for hackers and malicious
users. Existing security modules have focused on the application front-end for users taking cognizance of the integration
logic and the server back-end. Various encryption algorithms proposed to protect the users and the administrators are
insufficient to address this challenge, hence this work that discuses and analysed a secured e-commerce design from a
network perspective, that used Procedural Service Tagging Technique (PPTS ) as a technique that tags IP address labels of
registered e-commerce users on the e-commerce server platform via a robust stateful firewall. An experimental testbed
was developed for the e-commerce Network Operation Centre. In the setup, the Integrated Service Router (ISR) firewall
monitors the ingress packets as well as the egress packets while obtaining information about the available IP tags on each
of its interfaces. It was concluded that the PPTS is most accurate approach as it facilitates the collection of information
from all possible sources at the highest possible frequency by the ISR firewall. This approach can be very efficient in
terms of stateful monitoring on the e-commerce domain.
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Key Words: E-Commerce, Procedural Service Tagging Technique (PPTS ), Combined-input Crosspoint-Queued (CICQ)
firewall, IP Spoofing , Cloud Datacentre, Encryption.
1. INTRODUCTION
E-Commerce offers an easy way of direct access for
online business transactions aimed to reduce the rigour
of carrying out physical cash payment, direct
involvement of parties in the business schedules of the
present days marketing system. The online marketing
system for the fast technologically growing population
of the world should be guarded and secured for
reliability and accessibility. Effective use of ecommerce should be guaranteed by the need to
incorporate securities that will identify not just
usernames and passwords, show list of users at a point
in time, and be able to disable users for any evidence of
wrong use of pass codes or activities likely to be frauds,
but should be able to adequately protect the backend
servers offering the e-commerce service. This will go a
long way to encouraging e-commerce users to be
actively involved in online business transactions. For
this to be achieved, a cloud datacentre [1] is needed
with a designed portal that allows users for secured
interactivity on the internet cloud via an e-commerce
Software as a Service (SaaS) application model called
Cloud E-commerce System (CES).
1.1. Cloud Datacenter Description
A cloud datacentre is a server farm or a computer room
where majority of
enterprise servers and storage
systems such as Enterprise Resource Planning solutions
(ERPs), Application servers, e-commerce servers,
Copyright © 2015 SciResPub.
Security systems (IDS) are located, operated and
managed. It is also referred to as the consolidation point
for provisioning multiple services that drive enterprise
business processes [2]. For example, financial
institutions like banks, educational institutions like
universities, internet service providers (ISPs), internetbased social networks, oil and gas industries all have
one form of data centre or the other where their data are
stored, operated and managed. Some of them have and
manage their own datacentres while others outsource to
bigger datacentres due to high cost of owning, managing
and maintaining a data centre networks [2].
A datacentre can be cloud based or non-cloud based
depending on its layers of integration. Datacentres,
behaving as “cloud providers”, are computing
infrastructures which provide many kinds of agile and
effective services to customers. Organizations such as
Amazon, Cisco, Yahoo, Salesforce, Facebook,
Microsoft and Google have their own datacentres and
provide pay-as-you-go cloud services. The cloud
datacentre offers two major services: One is on-demand
computing instance e.g. Amazon’s EC2 and Eucalyptus,
and the other is on-demand computing capacity. The
former provides computing instances according to
needs. The datacentres instantly create virtualized
instances and give the response. The virtualized instance
might consist of processors running at different speeds
and storage that spans different storage systems at
different locations. Therefore, virtualization is an
essential characteristic of cloud computing, through
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1.2. Our Contribution
In this work the aim is to develop an e-commerce
network system for a secured online business transaction
running on the cloud IP backbone leveraging the
concept of Procedural Service Tagging Technique for
packet monitoring.
key and public key encryption algorithms used for
access authentication. In context, the generated
symmetric key is used for integrity encryption for the
authentication access in ISCloud V.1.0 SaaS model. The
issues of gateway vulnerabilities were not addressed.
The work in [8] developed a new encryption scheme
based on XAMP MD5 Random Curve Cryptography
(XMD5 – RCC) running on Secure Socket Layer (SSL)
which protects the user and administrators on the
Ecommerce platform. The result of encryption scheme
randomly generates and secures the login details
dynamically on the server during the authentication and
authorization phases. The work in [9] discussed security
trust in Online Service Computing while developing a
Secured-tier VLAN for e-commerce systems. Similarly,
the authors in [10] presented a new conceptual model
for online trust, which illustrates the phases of building
online consumer trust and outlines the necessary
interactions between consumers, and the vendors.
Various security contributions have been made in
literature with respect to cloud based networks. A
representative sample of literature studies on cloud
security efforts in relation to cloud based platforms for
privacy protection on the internet are detailed in
[11],[12], [13],[14],[15],[16],[17], [18] and [19]. These
works focused more on cloud security using various
related security algorithms and strategies to protect
enterprise assets and critical infrastructure on the cloud
computing network. Though their emphasis was not on
e-commerce domain.
The work in [20] demonstrates the tasks needed to
enhance the network security in Linux environment.
The work specified a total of seven configurations and
security levels of firewall, according to the requirements
stated in documented security policies. In [21], the
authors present an assessment methodology to analyse
the performance of different firewalls platforms. The
analysis considers the following metrics: delay, jitter,
throughput, and packet loss. The information security
of the firewalls was tested by applying a set of attacks
and observing the reaction of the firewalls. Their
proposed assessment methodology was tested by
performing real experiments on different types of
firewalls including those that are personal and networkbased.
Furthermore, the authors in [22] experimentally
evaluated and model the error-caused security
vulnerabilities and the resulting security violations of
two Linux kernel firewalls: IPChains and Netfilter.
There were two major aspects to their proposal viz:
extensive error injection experiments on the Linux
kernel and the quantification the possibility of errorcaused security violations using a SAN model.
2.
LITERATURE REVIEW
2.1. Summary of Related Works
Authors in [7] present ISCloud V.1.0, an interactive
cloud shopping cart based SaaS with Hybrid
Cryptography in which a fast high-quality symmetric-
2.2. Limitation of Existing Works
1. Most of the works focused on the Software as a
Service model which is highly vulnerable to attacks.
2. Most of these models lack multi-tier security
functionality to address possible vulnerability issues.
which applications can be executed independently
without regard for any particular configuration [3].
Equipped with similar machines, datacentres can scale
out by providing additional computing instances, or can
support data- or compute-intensive applications via
scaling capacity. Google and Yahoo belong to the
second category. In these datacentres, the need of
processing large amounts of raw data is primarily met
with distributed and parallel computing and the data can
be moved from place to place and assigned changing
attributes based on its lifecycle, requirements, and
usefulness [3]. In this regard, one core technology is
MapReduce which serves as a style of parallel
programming model supported by capacity-on-demand
clouds. It can compute massive data in parallel on a
cloud services. Cloud computing services are classified
into two distinct deployment models amongst others,
viz: public and private [4]. A public cloud is designed to
provide cloud services to a variety of third-party clients
who use the same cloud resources. Public cloud services
such as Google’s App Engine are open to anyone at
anytime and anywhere. On the contrary, a private cloud
is devoted to a single organization’s internal use.
Google, for example, uses Google File System (GFS),
MapReduce, and BigTable as part of its private cloud
services, so these services are only open inside the
enterprise. It is important to note that Google uses its
private cloud to provide public cloud services, such as
productive applications, media delivery, and social
interaction [3]. Other models are the community and
hybrid clouds [4]. These cloud networks [5] aim to
power the next generation datacentres by exposing them
as a network of virtual services (hardware, database,
user-interface, application logic) so that e-commerce
users are able to access applications from anywhere in
the world on demand at a costs depending on users QoS
(Quality of Service) requirements [6]. Some of the
traditional and emerging cloud-based applications
include social networking, web hosting, content
delivery, and real time instrumented data processing.
Each of these application types has different
composition,
configuration,
and
deployment
requirements. The issue with the cloud infrastructure
for deploying e-commerce application is the
vulnerability of the network infrastructure.
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International Journal of Advancements in Research & Technology, Volume 4, Issue 8, August -2015
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3. In most of the systems, their modularization design
lacks the capability for audit trails and logs for
transaction computations
4. Integration is highly capital intensive making it
difficult to be adopted.
5. Heavy and complex cart models makes for
inflexibility making difficulty in user experience and the
encryption algorithms are not properly integrated.etc.
6. Integrated firewall service is usually placed in front of
the servers which presents vulnerable point for
attackers.
2.3. Benefits of e-Commerce Network
Considering the e-commerce network security
framework discussed in section 3, this work outlines the
advantages of the proposed model below, viz:
i. Cost savings. Depending on the specific mix of
applications, and network configuration, MPLSbased services can reduce costs by 10% to 25% over
comparable data services (frame relay and ATM).
As companies add voice and video traffic, cost
savings can rise to as much as 40% network wide.
ii. Quality of service (QoS) enablement. One of the
primary benefits of ISR based firewall services is the
ability to support QoS for end users.
iii. . Improved performance. Because of the any-to-any
nature of ISR services, network designers can reduce the
number of hops between network points, which
translates directly to increased response time and
improved application performance. ISR firewall labels
are used to forward the packets instead of the destination
IP address.
iv. Disaster recovery. ISR-based services improve
disaster recovery in a variety of ways. First and
foremost, data centres and other key sites can be
connected in multiply redundant ways to the cloud (and
thus to other sites on the network). Secondly, remote
sites can quickly and easily reconnect to backup
locations if needed (unlike with ATM and frame
networks, in which either switched or backup
permanent-virtual-circuits are required).
V. Unified network infrastructure
vi. Better integration of various forms of IP traffic
vii. Flexible classification of packets
viii. Optimization of network resources with optimal
traffic flow
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ii. Optimized Speed
The proposed model greatly speeds up the tagging
process by labelling each packet as it arrives on the
network. Each network router stores information on how
to handle different packet types, as indicated by their
header label. This directly translates to higher efficiency
by lightening the load on an organization's routers and
freeing up needed resources. Speed of packet
transmission is increased as the load on network
infrastructure is reduced.
Consequently, the proposed model used the user IP
traffic to secure users on the cloud e-commerce domain.
All of this is done seamlessly, with absolutely no
interaction needed on the part of the customer and with
no significant changes to their network infrastructure.
3. METHODOLOGY
3.1. Procedural Service Tagging Technique (PSTT)
After several field visitation and literature studies, this
work developed a PSTT as a tag labelling method of
identifying every user that registered on the cloud ecommerce portal. The control plane of the firewall
switching module in figure.1 uses a combined-inputand-crosspoint-queued (CICQ) architetcure.
The functional block diagram of the controller unit
supports ingress IP and Egress IP that is labelled as an
access and trunk traffic. With a label on the user IP, the
packet processing unit will check whether it is directed
to a valid e-commerce server. In this case, the tag
remover unit will remove the tag information and
checks the address of the destination server and the port
location associated with this address will be taken from
the lookup table. The packet processing unit uses the
following algorithm:
a)
If the user IP is directed to a node within the
same controller Cij, then the processing unit
will close the proper crossbar port to forward
the user IP packet to the required destination
output buffer.
b)
If the packet is not within the same controller,
the IP packet processing unit will add the tag
information and direct it to the output trunk buffer.
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2.4. Implications of the Proposed e-Commerce
Network
The proposed model is a form of IP labelling. Other
functional features includes:
i. User Packet Labelling
In this work, the proposed ISR model is designed to
label user IP packets. In traditional IP networks, packets
are routed based solely upon the data's network-layer
header. But in the proposed model, the arrival of each
packet forces a router to decide where it should go next
with no regard for its actual content.
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Figure 1: A Model of CICQ Firewall Architecture
are then forwarded towards the appropriate node based
on the forwarding decision.
Figure 1 shows the model of the combined-input crosspointqueued (CICQ) firewall architecture, with inputs Ai, outputs QN ,
and crosspoint buffers BiN . Figure 2 shows the interaction of the
IP spoofing algorithm on the secured e-Commerce network. Users
are identified by the label tags on them once they register on the
application portal. The location of the users is considered as the
internet platform allows seamless remote communication as
shown in Figure 3.
Figure 4 Stateful ISR firewall based on IP
Label tagging
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Figure 2: Proposed Secured E-Commerce Network
Figure.3: Proposed Conceptual
Location Network Model
3.2. Network Access Firewall (NAF)
Figure 4 shows a typical network access firewall (NAF)
based on Cisco Integrated Service Router (ISR) series
router. In this router, the control plane (control
component) maintains and controls the forwarding table
by learning the network topology from the routing
protocols such as OSPF, IS-IS and BGP. Control plane
is responsible for building the MPLS IP routing control
by updating the label bindings which are exchanged
between the routers.
So when a user IP packet arrives at the router, the
forwarding decision is taken by the data plane
(forwarding component) by consulting the forwarding
table, which is maintained by control plane. The packets
Copyright © 2015 SciResPub.
4. SYSTEM IMPLEMENTATION
4.1. Capacity Modelling in e-Commerce Cloud
Network Architecture
The approach for capacity estimation is based on the use
of Equations (1),( 2) and (3). The e-commerce NOC
requires the ISR firewall to supply the ingress Ip or
egress Ip and obtain the information about the available
IP tags on each of its interfaces. The most accurate
approach will be to collect information from all possible
sources at the highest possible frequency allowed by the
ISR update interval constraints. This approach can be
very efficient in terms of signalling and data storage.
Furthermore, it can minimize traffic redundancies,
memory requirements for data storage and the signalling
effort for data retrieval. This work now models the
capacity requirement for the system.
Lets define for a link between two nodes Xk and Yk: Let
the input firewall gateway capacity be given by
Lp =
(1)
Let the output firewall gateway capacity be given by
KP =
(2)
Where j,n are integer values, IPU is the available
bandwidth, Xk is the input vector (Ingress)
While yk is the output vector (Egress). Hence, the ISR
firewall cloud network capacity is given by
Cp = Lp + KP
(3)
This paper will now discuss the implementation of the
secured e-commerce cloud network. In production
context, the system design will leverage third party
cloud technologies and services offerings including (a)
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International Journal of Advancements in Research & Technology, Volume 4, Issue 8, August -2015
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VM technologies such as open source Xen and
commercial VMWare for e-commerce server
virtualization. In the simulation environment, this work
implemented a scenario based connection in the
platform as a Service (PaaS) to allow full system
interaction.
4.2. Experimental Testbed
In this work, the design of the proposed system used
Riverbed Modeller software [23] to achieve the design.
For the network test bed, the following infrastructure
components were used, viz:
i. 10 User locations
ii. 12 local Switches with VLAN Service
iii. 1000 (Min) e-commerce Users (Client
Stations)
iv. 1 ISR Unix/Checkpoint Cloud Firewall
v. 9 e-Commerce Serves each on PPP DS1 and
10Gbps Links
vi. Http User Traffic based on user IP on web
browser
vii. 1 large pool of Internet Cloud.
From figure 2, the proposed secured e-commerce
network system model utilizes the infrastructure
components outline above. The e-commerce servers
have the role authenticating and monitoring the overall
network for efficient service delivery. The switches
enable localized connectivity.
82
are used for connecting client and server nodes to the
switches and servers.
Figure 7 shows the capacity response times for a
firewall scenario of stateful PSTT and non stateful
PSTT. It was shown that the proposed security scheme
is stable while offering better system response even in
attack scenario. The lower latency of 0.5secs at steady
state means that the system have the capacity to monitor
myriad of traffic without any overhead on the network
performance.
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Figure 6. Validation compilation of the e-commerce
design architecture with Riverbed Modeller tool
Figure 5. 2800 series gateway router (Source: Federal Ministry of
Science and Tech, NASENI-ELDI, Testbed, Awka,
2015)
5.
SYSTEM EVALUATION
The network model, node model and process models
were accomplished in the testbed using Riverbed
modeller. After setting up the model, a simulation run
was carried out to verify the architecture shown in
figure2. The validation plot is shown in figure 6 verified
the consistency test carried out. Also, the plot shows that
the model design is stable and consistent before
simulation execution. In the model, Ethernet links were
used to connect all the firewall and 10GB Mbps links
Copyright © 2015 SciResPub.
Figure 7: Validation Comparison of capacity modelling
between PPTS Firewall response times and Non- PPTS
Firewall
By employing a security model that will balance
security effectiveness with productivity, a stateful
firewall with a comprehensive range of next-generation
network security services, including granular visibility
and control, robust web security onsite or in the cloud,
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and intrusion prevention to protect against known
threats, threats and advanced malware, this will provide
comprehensive visibility, reduced cost and complexity,
and real-time protection from malware and emerging
threats in the ecommerce domain.
6.
CONCLUSION AND
RECOMMENDATION
In this work, secured e-commerce cloud architecture
was proposed as an optimal network for cloud based ecommerce applications. An exhaustive literature search
was carried out showing the limitation of existing
systems. The system model for the proposed system
was discussed, the advantages and prospects was
outlined. A validation design was achieved with
Riverbed Modeller software Version 15.0 showing a
stable operation and lower response times for secured
e-commerce context. Future work will show cloud based
security network using Cisco ASA 5500-X series in a
production environment. The performance in a single
user case will also be compared with multi-user
scenario. With this model, the future of e-commerce is
highly secured.
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