A reliable next generation cyber security architecture for industrial internet of things environment

International Journal of Electrical and Computer Engineering (IJECE)
Vol.10, No.1, February 2020, pp. 387~395
ISSN: 2088-8708, DOI: 10.11591/ijece.v10i1.pp387-395  387
Journal homepage: http://ijece.iaescore.com/index.php/IJECE
A reliable next generation cyber security architecture for
industrial internet of things environment
C. Vijayakumaran1
, B. Muthusenthil2
, B. Manickavasagam3
1,3
Department of Computer Science and Engineering, SRM Institute of Science and Technology, India
2
Department of Computer Science and Engineering, Valliammai Engineering College, India
Article Info ABSTRACT
Article history:
Received Feb 17, 2019
Revised Aug 29, 2019
Accepted Aug 30, 2019
Architectural changes are happening in the modern industries due to
the adaption and the deployment of „Internet of Things (IoT)‟ for monitoring
and controlling various devices remotely from the external world. The most
predominant place where the IoT technology makes the most sense is
the industrial automation processes in smart industries (Industry 4.0). In this
paper, a reliable „Next Generation Cyber Security Architecture (NCSA)‟ is
presented for Industrial IoT (IIoT) environment that detects and thwarts
cybersecurity threats and vulnerabilities. It helps to automate the processes of
exchanging real-time critical information between devices without any
human intervention. It proposes an analytical framework that can be used to
protect entities and network traffics involved in the IIoT wireless
communication. It incorporates an automated cyber-defense authentication
mechanism that detects and prevents security attacks when a network session
has been established. The defense mechanism accomplishes the required
level of security protection in the network by generating an identity token
which is cryptographically encrypted and verified by a virtual gateway
system. The proposed NCSA improves security in the IIoT environment and
reduces operational management cost.
Keywords:
Cyber-defense authentication
mechanism
Cyber security architecture
Industrial IoT
Industry 4.0
Internet of things
Real-time critical information
Virtual gateway system
Copyright © 2020 Institute of Advanced Engineering and Science.
All rights reserved.
Corresponding Author:
C. Vijayakumaran,
Department of Computer Science and Engineering,
SRM Institute of Science and Technology,
SRM Nagar, Kattankuluthur, Kanchipuram District, Tamilnadu, 6020, India.
Email: kumar1612@yahoo.com
1. INTRODUCTION
The proliferation of embedded devices in the modern industrial sector has provided many kinds of
solutions for the industrial automation processes. The emergence of the Internet of Things (IoT) technology
paves a way to connect these devices wirelessly with the internet [1]. The most prevalent place in which
the IoT technology makes the most sense is the industry automation in smart industries (Industry 4.0) and it
is also called as Industrial IoT (IIoT) [2, 3]. It is expected that nearly 45 billion IoT devices will be in use in
2023 [4]. The smart industries use thousands of smart sensors and devices in their automation processes
which control different aspects of the manufacturing process ranging from automation of production line to
protection and safety of the operating environment. The legacy devices have been upgraded with smart
sensors which provide more functionality, intelligence, and connectedness between devices. By enabling
industries with IoT technology, the manufacturers can considerably reduce the operating and maintenance
cost of their industrial equipment. It also helpsto reduce errors, improve safety and efficiency in
the manufacturing process. However, security attacks make failures in the automation processes. Industries
can use cyber-physical systems to monitor their physical processes through different administrative divisions
and make critical decisions from the collected data. Data collected and stored in the central repository are

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Int J Elec & Comp Eng, Vol. 10, No. 1, February 2020 : 387 - 395
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more susceptible to various security attacks and can choke the entire automation processes. For instance,
data interception in the communication channel can exploit the data integrity of the system.
The characteristics of a smart industry include interoperability, data integrity, transparency in
information sharing, technical assistance and decentralized decision making. In order to provide secure
access to industrial automation processes, the Supervisory Control and Data Acquisition (SCADA)
system [5] is mainly used as an Industrial Control System (ICS) in the IIoT environment. The main role of
the SCADA system is to feed the real-time system performance data into higher level IT support systems for
decision-making processes. The general architecture of the SCADA system is shown in Figure 1. It provides
instant access to real-time information for making data-driven decisions in order to improve efficiency,
performance, customer experience and control industrial processes remotely. However, strategic plans for
securing the IoT devices have not been kept up with the rapid development and innovations happening in
IIoT sectors which enables many new challenges in the cybersecurity landscape [6]. The integration of IoT
with the existing SCADA system in the industry environment can introduce many kinds of security risks to
the system.
Figure 1. The architecture of the SCADA system in the Industrial IoT (IIoT) environment
The IIoT environment needs low-cost smart sensors that should be reliable, easily deployable and
configurable. It should exhibit application-level interoperability and fault tolerance capabilities under
communication impairments. It should also provide scalability, security and privacy requirements to its users.
In order to provide effective security control mechanism in the IIoT landscape, many authentication
mechanisms have been proposed [7, 8]. However, the limited computational power of devices and low
bandwidth of communication channels prevents those mechanisms directly applied to the IIoT sector.
In this paper, a reliable next-generation cyber security architecture is proposed to authenticate entities
involved in wireless communication. It ensures the integrity of the real-time critical information exchanged
between those entities in the IIoT network.
a. Cyber security challenges in the IIoT landscape
There is a multitude of cybersecurity threats emerging in the information era that are mainly
targeting organizations and industries at large. The IIoT network environment is shown in Figure 2. Many
cybersecurity challenges [9] and solutions [10, 11] have been addressed in this environment to mitigate
security vulnerabilities and threats. Without having a well-designed security infrastructure for any IIoT
deployments, an organization should encounter a considerable amount of damages to its assets and reputation
over time. This section discusses different kinds of security attacks and major cybersecurity challenges
needed to envisage a security framework for the IIoT environment [12].

Int J Elec & Comp Eng ISSN: 2088-8708 
A reliable next generation cyber security architecture for industrial internet of ... (C. Vijayakumaran)
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Figure 2. The IIoT network environment
b. Different security attacks in IIoT network
Most of the critical infrastructure is vulnerable to security attacks. The classification of different
security attacks in the IIoT network landscape are categorized as follows:
Attacks on Physical Components: Attacks on physical components of IIoT require unauthorized
access to sensing devices, control systems and actuators [13]. Hackers have various options at their disposal
to intercept the radio signals and clone it to extract the security credentials which cause significant damage to
critical infrastructure in the industrial control systems.
Attacks on Software Components: Attackers injects various kinds of malware such as Viruses,
Trojans, and Worms to see how they react in the system. The distributed denial of service (DDoS) attacks can
disturb the regular operation of the systems under control. For an instance, in IIoT sector, attack on
the safety-critical information such as warning of a broken gas pipeline can be done through the DDoS
attacks [14] to suppress the warning messages that can go unnoticed. Each update of the software must be
signed (verified) before flashing into a device to accomplish authenticity.
Attacks on Network Components: Wireless connectivity between devices facilitates remote access.
However, it is also the biggest vulnerable point in the IIoT network from which the attackers can exploit
the whole network components remotely. Intruders can initiate possible attacks on the nodes connected to
the wireless network. In fact, a cloud infrastructure could be used to control the networked IoT devices
connected through a gateway [15]. Thus, if the gateway node has been compromised by an attacker,
the whole IIoT system can be down and becomes critical. Each end-to-end session can be encrypted at
the end-points to avoid security threats in the network. The lack of well-established business processes,
mature technologies, and proliferation of different device standards create complexities in the IIoT sector
which in turn, makes it difficult to tackle all kinds of security attacks [16]. Thus a well-established
cybersecurity solution is essential to secure the IIoT landscape.
c. Security requirements for IIoT landscape
Any framework envisaged for IIoT environment should meet the following security requirements:
1. Security: It provides assurance to the user of a system that all components used in the system are well
protected and remain secure from outside threats and attacks that try to compromise the system. It also
assures that the confidentiality and integrity of the system will remain intact and the information will not
be disclosed at any cost to any unauthorized entity. It assures the availability of the system to its
authorized user and enables instantaneous access to the information.
2. Privacy: It is the ability of the system under control that provides controlled access to its information flow
within the organizational setup.
3. Reliability: It is the ability of a system that should perform its required functions under stated conditions
within the specified period
4. Safety: It is the most important requirement for any IIoT sectors that provides an amicable working
condition at which the user of the system should not pose any potential threat of danger. It should
safeguard both people and physical assets in the working environment.
5. Resilience: It provides fault-tolerance capabilities to the system when a failure occurs. The system should
accomplish its functions through meaningful alternative ways when it encounters some failures.
If a single component of the system has encountered a failure, it would not affect other parts. The system
should automatically overcome with that failure

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The nodes of the network in the IIoT landscape are interfaced with a cloud-based management
system (integration of SCADA with web-based cloud system through a gateway) for performing various
analytics and decisions making processes. The communication entities use TCP/IP protocol stack for wireless
transmission of data between them which is much more susceptible to security threats than its wired
counterpart. The security breach impacts on data loss and it can extend into the areas of human and physical
risks. Thus, it is essential to have a security solution that should address the various issues related to
the security and privacy of the data shared between entities involved in the IIoT sectors [17, 18].
The main objective of this research paper is to present a scalable and reliable security system
architecture named as “NextGen Cyber Security Architecture (NCSA) for IIoT Applications” that protects
the real-time data traffics generated from various IoT devices and to the data stored in the cloud server
system. It provides the required level of security to the system by enabling a suitable authentication
mechanism and by enforcing necessary policy management in the proposed security framework.
The proposed framework tries to address the following key questions:
a. Does the existing configuration of cloud infrastructure of the IIoT application intact? In general,
redundancy in device deployment is followed in the IIoT sector. The system hence collects redundant,
dynamic and heterogeneous data and stores them in its cloud. The collected raw data should be cleaned
and formatted for performing various analytical processes. Thus, the proposed framework ensures
the data integrity and privacy requirements of the organization through a suitable authentication
mechanism.
b. Is it scalable for new devices introduced in the existing network environment? Scalability is essential in
the IIoT environment, either new devices are introduced at any time to the existing network or failure
devices can be removed for diagnosing a fault. The proposed cybersecurity framework supports
scalability by means of device identity tag.
c. What are the security and privacy policies enforced when the cloud infrastructure was hacked? Data
confidentiality should be maintained within the IIoT network. Privacy-preserving policies are used and
employed in the proposed scheme to address these security issues in the cloud infrastructure of IIoT.
d. Are the legacy technologies sufficient? If not, do we need any further enhancement to meet the
additional requirements of new applications? The proposed NCSA describes well-defined key
capabilities of IIoT security platform that includes various aspects of integrating cybersecurity schemes
in the existing infrastructure without affecting the operational characteristics of the legacy systems to
avoid various kinds of cybersecurity threats.
The rest of the paper is organized as follows. The proposed NextGen Cyber Security Architecture
(NCSA) is described in Section 2. The security analysis for the proposed NCSA is given in Section 3 and
the performance analysis of the NCSA is given in Section 4. Finally, Section 5 concludes this research work.
2. THE NEXTGEN CYBER SECURITY ARCHITECTURE (NCSA) FOR IIoT ENVIRONMENT
Many efforts have been taken by researchers in the field of IIoT to provide protection mechanisms
and cybersecurity frameworks for IIoT applications. In this section, the system level security framework for
IIoT landscape is presented.
a. The system architecture
The daunting task in wireless network communication environment is to detect and thwart security-
related threats. The security frameworks designed for mitigating security vulnerabilities in IIoT sectors is
neither automated nor integrated. For instance, it is difficult to automate the updating of signatures in
signature-based security solutions to detect polymorphic attacks. A better solution can be achieved through
an automated cyber defense mechanism that can provide necessary protection approaches for various threats
in a wireless environment. The components of the proposed NextGen cyber security architecture (NCSA) is
shown in Figure 3.
It has two perceptible features that enhance the existing cyber defense mechanism and network
security. At first, it provides scalability that the system can scale from a few nodes to a large volume of data
nodes in the IIoT communication network. A new client node can become a member by generating an
authentication token which is cryptographically signed. The identity of the token (client) is verified by an
administrator node. The gateway node authenticates each session established between the IoT devices and the
cloud server. It allows only authenticated traffic in the network through a table look-up mechanism which
reduces computational overheads occurred in complex network control packets. A dynamic and adaptive trust
mechanism can be easily integrated with existing security solutions to provide cyber defense solutions that
scale well. The trust mechanism enforces a well-established business rule (Policy Management) to protect the
network resources.

391
Figure 3. The nextgen cyber security architecture (NCSA) for an IIoT landscape
The second major capability of the proposed system is to provide a real-time detection and
prevention mechanism for system security that addresses different kinds of security attacks induced when
a session is established. An access control (AC) mechanism preloaded in the administrator authenticates
a network packet at each session establishment process in advance so that only legitimate node will be
allowed to transfer packets with other entities in the wireless environment. The attackers outside of
the network cannot see the protected resources since the access control mechanism restricts
the unauthenticated requests from the outside world. The access controller achieves this restricted access to
data traffic through an encrypted security token that can be inserted in each session.
b. Data-level security in the NCSA
Each device is assigned with a unique identity (ni) in the pre-deployment phase. A public key (Kr)
and a secret key (Ka) is also assigned for each node in the IIoT network. A shared session key (Ks) is
generated during a network session established between neighboring nodes which ensures the security in
the data exchanged between those neighbors. Hence, the attacker cannot eavesdrop security information in
the data transmission process. Similarly, the intruders cannot perform node forgery attack by introducing
some malicious nodes in the network. Because they cannot generate a session key with the required level of
identities for the malicious node. For instance, let us consider a node in the IIoT network sends the monitored
information in the form of data packets to the central repository (Cloud Servers) system. A malicious node in
the communication path unable to decipher the content of the packet, since it was encrypted by the negotiated
session key along with the public and secret keys of that node. A public key encryption algorithm such as
RSA is used to encrypt the packet transmitted between a source node and a destination node.
Only the intended recipient can decipher the received packets. An efficient key-management protocol [19-21]
is used to generate and manage the keys in the proposed system. There are many challenges exist in the cyber
security management for IIoT [22].
In the cloud server side, the proposed framework enforces the secure information storage policies in
order to preserve the integrity of stored data [23-25]. The data are stored in the encrypted format and cannot
be decrypted without knowing the secret key of the end user. As per the pre-defined rules given in the policy,
the received packets can be decrypted using the same algorithm used for encrypting the packets. In addition
to these capabilities, NCSA provides necessary APIs required to identify network management processes,
privacy-preserving policies, and various interfaces needed for smooth operation of the whole network in
a controlled manner. With the integration of all the mechanisms, a reliable automated cyber security
architecture can be envisaged in an IIoT landscape.
c. Securing the network traffic through IIoT gateway node
The most valuable entity in the IIoT network is the smart sensors that have different calibration
capabilities within the specific level of tolerance to provide a required data fidelity. They generate different
kinds of information with the varying degree of tolerance, however, the receiving end may use a data
analytics system that can apply a pre-defined tolerance level (threshold) to each sensor measurements in
order to provide real-time responses to the user. When such sensors are deployed in time bounded IIoT

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landscape, they must be physically secured to prevent unnecessary relocation or deletion from the network.
Each sensor has a unique identity that can be encrypted and verified for authentication purpose.
The basic capability of the gateway system is to bridge all devices in the internal network to
the external world (Internet) through a wireless local network interface. It monitors all the network traffic and
controls them to identify unexpected and unwanted content in network communication. It can achieve
the required level of defense using several methods such as:
1) By effectively isolating unauthorized external network traffic from reaching the IIoT devices, the gateway
prevents the external threats that are aimed to manipulate the device behavior
2) Compromised devices are prevented from being used to attack other entities in either internal or external
network. For example, a DDoS attack or transmission of sensitive data to other internet-based systems.
The next major function of the gateway system is to identify and authenticate each device in
the internal network. Only authorized devices with enact integrity can participate in network operations.
The gateway should promptly identify, authorize and authenticate devices connected in the network and it
should also verify the integrity of the software installed or updated in the devices.Finally, the applications
and gateway interfaces must also be well secured through a virtual private network (VPN) which prevents
manipulation of system messages, eavesdropping, network error, and data corruption.
3. SECURITY ANALYSIS
This section analyzes the security of the proposed authentication mechanism as follows:
a. Proposition 1. The identity of the IIoT devices is secured by the proposed authentication
mechanism
Proof:The identity of the devices used in the IIoT network is protected by generating a unique
authentication token which is cryptographically encrypted using a strong public key cryptographic algorithm
such as SHA. Therefore, the attacker cannot obtain the identity of the devices without compromising
the security keys generated during the encryption and decryption processes.
b. Proportion 2. It preserves the confidentiality of the information exchanged in the IIoT landscape
Proof: The confidentiality of the information is secured by using a hash value of a random number
generated when s session has been established in the communication process. Therefore, the adversary cannot
intercept a communication session without knowing the randomly generated hash value of the identity token.
c. Proportion 3. Mutual authentication between devices and gateway involved in the communication
is achieved through the proposed authentication mechanism
Proof: While receiving a join request message from a new device or messages to be sent to devices,
the gateway node checks the identity token, hash value and the random number generated for the device.
The message is considered to be genuine only when equality holds good. The same verification process is
carried out in the device side to authenticate the gateway node when it received a message from the gateway
node. Hence, the aim of an attacker to fake a device or the gateway node is prevented since he needs to
generate the valid combination of the authentication token which is very difficult to achieve. Moreover,
he cannot assume the random number generated in the mutual authentication process.
d. Proportion 4.Impersonation attack is prevented in the network by the proposed authentication
mechanism
Proof:The proposed authentication mechanism guarantees the user that a packet transmitted
between nodes cannot be modified by the attacker without knowing the hash values used in the mutual
authentication process involved in the establishment of a secure communication session. The tampered
message send by the attacker can easily be detected by checking the hash values at the node itself.
Hence, the impersonation attack can be prevented in the network.
4. PERFORMANCE ANALYSIS
The performance of the proposed NCSA is analyzed in this section. The performance of NCSA is
evaluated through a simulation experimental setup as given in Table 1. A prototype of the NCSA is created
and deployed to monitor certain parameters (like temperature and pressure) in the IIoT landscape.
The performance of the prototype is tested in terms of the amount of data securely transmitted,
time-synchronization, data retrieval capability and volume of storage required in the server side.

393
Table 1. Experimental setup
Sl. No Parameters Values
1 No. of nodes (devices) 9
2 Wireless communication ZigBee and WirelessLAN
3 Connection to Cloud Server Internet
4 Cloud Server An Intel desktop server with 8GB RAM and 1TB storage capacity
5 Data fusion Indirect, decentralized
6 Sensing Time Interval 100ms
7 Monitoring parameters Temperature and Pressure
8 Gateway Node A laptop with 4GB RAM and 500 MB storage capacity
The wireless communication between nodes in the IIoT network is achieved through the ZigBee
(IEEE 802.15.4) technology. The temperature and pressure sensors are mounted in the internal nodes.
The external cloud server is responsible for collecting, storing and processing the data received from these
nodes. The nodes are transmitting the sensed data to the cloud server through an intermediate gateway node.
It is assumed that the temperature and pressure values are measured every 100ms and these values are
directly sent to the gateway node. It collects this information from those 9 devices and performs an
estimation of local temperature and pressure at the deployed location in the IIoT environment. The estimated
information is sent to the cloud server every 10 min for further processing. As presented in Figure 4,
the proposed NCSA considerably reduces both the data transmission overheads and storage space occupied
by the data in the cloud storage system external to the IIoT network.
Therefore, the cloud server has to occupy more storage space to store data in the cloud storage
system without the NCSA framework. The data transmission overhead occurs within the internal networks in
the IIoT environment due to the header portion of data packets. There is always a trade-off between the data
transmission time and the data processing time in any wireless network environment. Time efficiency can be
achieved through suitable time synchronization mechanism. In the case of NCSA, time-stamp mechanism is
used to achieve the synchronization between various network elements during the data transmission process.
To secure IIoT environment, more research works are needed in the future. Because the security
frameworks for IIoT integrated with cloud computing are at the early stages of development. More attention
is needed in preventing cybersecurity-related attacks on the IIoT environment. Cloud-based solutions provide
a more efficient and optimized usage of computing resources. The future landscape may utilize data science
and big data frameworks that are expected to have a large impact on the IIoT sector.
(a) (b)
Figure 4. (a) The size of data transmitted to the cloud, (b) The percentage of storage space allotted for data
5. CONCLUSION
The paper presents anext-generation cyber security architecture for Industrial IoT (IIoT)
environment. The paper has highlighted the importance of critical infrastructure in industrial systems such as
SCADA and various cybersecurity-related attacks. The proposed system provides a reliable, automated,
cybersecurity framework for Industrial IoT that can monitors and controls its overall operation remotely.

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It provides authentication to all devices used in the system and achieves the same by using cryptographically
secured keys. An automated cyber-defense mechanism integrated with the authentication system is presented
to achieve the required level of security and reduces operational and maintenance cost considerably.
The gateway acts as a defense point between the external internet and internal network in the IIoT network.
It filters unwanted traffics thereby it prevents various security threats entering into the IIoT landscape.
The performance analysis of the proposed system showed that there is a considerable amount of reduction in
the storage space required in the cloud server and transmission overheads in the IIoT network environment.
ACKNOWLEDGMENTS
This research was supported by the management of SRM Institute of Science and Technology.
We thank our Director and Head of the department, Computer Science and Engineering from SRMIST who
provided insight and expertise that greatly assisted us to successfully complete this research paper.
REFERENCES
[1] L. Atzori, et al., “The Internet of Things: A survey,”Computer Networks, vol. 54, pp. 2787-2805, 2010.
[2] S. Mumtaz, et al., “Massive internet of things for industrial applications: Addressing wireless IIoT connectivity
challenges and ecosystem fragmentation,” IEEE Industrial Electronics Magazine, vol. 11, pp. 28-33, 2017.
[3] L. D. Xu, et al., “Internet of things in industries: A survey,” IEEE Transactions on Industrial Informatics, vol. 10,
pp. 2233-2243, 2014.
[4] V. Gandhi, “Security Essentials for IoT Deployments and in Connected Spaces,” White Paper from Frost and
Sullivan, 2017.
[5] K. Stouffer, et al., “Guide to Industrial Control System (ICS) Security,” NIST Special Publication, Revision 2, U.S.
Department of Commerce, 2015.
[6] A. Kott, et al., “Six Potential Game-Changers in Cyber Security,” NATO Symposium on Cyber Security Science
and Engineering, vol. 47, pp. 104-106, 2014.
[7] X. Yao, et al., “A lightweight multi-cast authentication mechanism for small scale IoT applications,” IEEE Sensors
Journal, vol. 13, pp. 3693-3701, 2013.
[8] W. L. Chin, et al., “A framework of Machine-to-Machine authentication in smart grid: A two-layer approach,”
IEEE Communications Magazine, vol. 54, pp. 102-107, 2016.
[9] K. Alexander, “Towards fundamental science of cybersecurity,”Springer Journal on Network Science and
Cybersecurity, pp. 1-13, 2013.
[10] A. Patcha and J. M. Park, “An overview of anomaly detection techniques: Existing solutions and latest
technological trends,” IEEE transaction on Computer Networks, vol. 51, pp. 3448-3470, 2007.
[11] Hitachi Ltd., “An anomaly detection system for advanced maintenance,” Hitachi Review, vol. 63, 2014.
[12] World Economic Forum, “Industrial Internet of Things Safety and Security Digital Protocol Network,” Center for
the Fourth Industrial Revolution, 2016.
[13] D. Welch and S. Lathrop, “Wireless security threat taxonomy,” Information Assurance Workshop, IEEE Systems,
Man and Cybernetics Society, pp. 76-83, 2003.
[14] C. Kolias, et al., “DDoS in IoT: Mirai and Other Botnets,”IEEE Journal on Computer,vol.50, pp. 80-84, 2017.
[15] M. Henze, et al., “A comprehensive approach to privacy in the cloud-based Internet of Things,”Future Generation
Computer Systems, vol. 56, pp. 701- 718, 2016.
[16] H. Kawai, et al., “Access Authentication – Providing Flexible and Secure Network Access,” NEC Technical
Journal, vol. 8, 2014.
[17] K. Alexopoulos, et al., “Architecture and development of an Industrial Internet of Things framework for realizing
services in Industrial Product Service Systems,” CIRP Conference on Manufacturing Systems, pp. 880-885, 2018.
[18] R. Chetan and R. Shahabadka, “A Comprehensive Survey on Exiting Solution Approaches towards Security and
Privacy Requirements of IoT,” International Journal of Electrical and Computer Engineering (IJECE), vol.8,
pp. 2319-2326,2018.
[19] Y. BenSlimane and K. Ben Ahmed, “Efficient End-to-End Secure Key Management Protocol for Internet of
Things,” International Journal of Electrical and Computer Engineering (IJECE), vol.7, pp. 3622-361, 2017.
[20] J. Metan and K.N. N. Murthy, “FSDA: Framework for Secure Data Aggregation in Wireless Sensor Network for
Enhancing Key Management,”International Journal of Electrical and Computer Engineering (IJECE), vol.8,
pp. 4684-4692,2018.
[21] S.V. Manikanthan and T.Padmapriya, “A Secured Multi-Level Key Management Technique for Intensified
Wireless Sensor Network,”International Journal of Recent Technology and Engineering, vol. 7, 2019.
[22] Maximilian L*, Markl E and Mohamed A. “Cybersecurity Management for (Industrial) Internet of Things:
Challenges and Opportunities,” Journal of Information Technology & Software Engineering, vol. 8, 2018.
[23] Sahmim S, and Gharsellaoui H,”Privacy and Security in Internet-based Computing: Cloud Computing, Internet of
Things, Cloud of Things: a review,”Procedia Computer Science, Vol. 112, pp.1516-1522, 2017.
[24] HughBoyes, BilHallaq, JoeCunningham and TimWatson,”The industrial internet of things (IIoT): An analysis
framework,” Computers in Industry, Vol. 101, pp.1-12, 2018.

395
[25] S. Jeschke, C. Brecher, T. Meisen, D. Özdemir, and T. Eschert,”Industrial internet of things and cyber
manufacturing systems,” Industrial Internet of Things, Springer, pp. 3-19, 2017.
BIOGRAPHIES OF AUTHORS
Chellavelu Vijayakumaran is currently working as an Associate Professor in the department of
Computer Science and Engineering at SRM Institute of Science and Technology, KTR Campus.
He has completed his B.E degree in Computer Science &Engineering from Madras University,
M.Tech. Degree from SRM IST (Deemed University) and P.hD from AISECT University,
Bhopal. His research interests include Network Security, Mobile Adhoc Networks (MANETs),
Artificial Intelligent, Virtual Reality, Data Science and Big Data Analytics. He has serverd as
invited reviewer for many conferences and journals. He was invited as guest speaker in a foreign
university. Further details can be found at http://www.srmuniv.ac.in/engineering/computer-
science/faculty/dr-vijayakumaran-c.
Muthusenthil Balasubramanian received his B.E degree in Electronics & Communication
Engineering from Madras University, in 1996 Masters Degree from Satyabama University in
2007, Doctorate from Anna University, Chennai 2016. He was working as a Research Scientist
in Wookyoung Information technology, Daegu, Southkorea. Now, he is working as an Associate
Professor at Valliammai Engineering College, Chennai. His interests are in mobile ad-hoc
networks, network security, video security, network attacks, privacy preservation, trust
evaluation and cloud computing. He is affiliated with scientific publications, he has served as
invited reviewer. Further info on his homepage: http://www.srmvalliammai.ac.in
Manickavasagam Balasubramanian, a member of IEEE. He got his Diploma in Computer
Technology in 2008 from Pattukkottai Polytechnic College, bachelor of Engineering from
Apollo engineering College, affliated to Anna University, and Master of Technology from SRM
University. Currently, he is pursuing Doctor of Philosophy, in the domain of Software Defined
Wireless Body Area Network. His research interests are Software Defined Network, Network
Security, Sensor Networks, and Internet Of Things. Mail ID: bmanickavasagam90@gmail.com

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