Security Enhancement in Wireless Sensor Network using Sagacity Dismissal of Conquered Movements
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https://doi.org/10.61841/mx4my291Keywords:
Security Enhancement in Wireless Sensor Network using Sagacity Dismissal of Conquered MovementsAbstract
Wireless Sensor Network (WSN) is a new approach for network programmability, which refers to the ability to control, change, and manage network behavior dynamically through sensor via open interfaces in contrast to relying on closed boxes and proprietary defined interfaces. It envision the plan, deploy the critical service, performance and industrial management upgrades for the utilization of 5th generation technology. The WSN framework enables centralized control of data path elements independently of the network technology used to connect these devices that can originate from different vendors. The centralized control embeds all the intelligence and maintains a network wide view of the data path elements and links that connect them. This sensor based network makes the controller suitable to perform network management functions while allowing easy modifications to the networking functions through the centralized control plane. To meet the vast requirements it is mandatory to enhance the technology in the network application, for which the software defined network can be very essential to meet the challenges in the technical advancement for rendering and utilizing the services. The overhead of the additional virtual nodes diminishes as network size increases, which has consistent improvement in enhancing the security in the transactions of data on large networks.
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1. Ming Wan, Jiangyuan Yao, Yuan Jing and Xi Jin,(2018) Event based anamoly detection for Non-Public Industrial Communication Protocols in SDN based control systems. CMC, vol.55, no.3, pp.447-463, 2018
2. Alexey G.FinogeevAnton A.Finogeev, (2017) “Information attacks and security in wireless networks of industrial SCADA systems”, Journal of Industrial Information Integration, Volume 5, March 2017, pp. 6-16 //doi.org/10.1016/j.jii.2017.02.002
3. Anithaashri TP and Baskaran R, (2016) “Enhancing multi-user network security using sagacity and dismissal of conquered movements” in the International journal on Computational and Theoretical Nanoscience, Vol-13, No.1, ISSN :1546-1955 Jan, 2016 pp : 69-7
4. Parli B. Hari ; Shailendra Narayan Singh, (2016)”Security issues in Wireless Networks: Current research and challenges “ International Conference on Advances in Computing, Communication, & Automation (ICACCA) (Spring), 8-9 April 2016, DOI: 10.1109/ICACCA.2016.75788764
5. T.P.Anithaashri, G. Ravichandran, R.Baskaran, Software Defined Network Security enhancement using Game Theory, Elsivere COMNET, vol157, pp:112-121, 2019
6. P.Selvi Rajendran,”Virtual Information Kiosk Using Augmented Reality for Easy Shopping”,International Journal of Pure and Applied Mathematics (IJPAM). special issue.Volume 118 No. 20 2018, 985-994,Scopus
7. T.P.Anithaashri, G. Ravichandran , et.al. Secure Data Access Through Electronic Devices Using Artificial Intelligence, ICCES, 2018
8. T.P.Anithaashri, R. Baskaran, Enhancing Multi-user Network using sagacity dismissal of conquered movements, International Journal of American Scientific Publishers pp:69-78, 2016
9. TPAnithaashri and R Baskaran, Reign Monitor service for web enabled distributed system in the International journal on Computation of Power, Energy, Information and Communication,Vol-12 April 2013
10. TPAnithaashri and R Baskaran, (2012) “Enhancing the Network Security using Amalgamation” in International journal on Cryptography and Information security, Vol-2, No.1, Mar, 2012 pp: 226-234
11. Anithaashri T.P., Baskaran R. (2012) Enhancing the Network Security Using Lexicographic Game. In: Meghanathan N., Chaki N., Nagamalai D. (eds) Advances in Computer Science and Information Technology. Computer Science and Information Technology. CCSIT 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 86. Springer, Berlin, Heidelberg
12. Zhen Yu, Young Guan,(2010), “A dynamic en-route filtering scheme for data reporting in wireless ntworks” in IEEE/ACM transactions on networking Vol.18, No.1, February 2010.
13. Linda O, Vollmer T, Manic M. (2009): “Neural network based intrusion detection system for critical infrastructures”. International Joint Conference on Neural Networks, pp. 1827-1834
14. Yenumula B Reddy, S Srivathsan,(2009) “Game Theory Method for selective forward attacks in wireless networks” in 17th Mediterranean Conference on Control and automation Makedonia Palace, Thessaloniki, Greece. June 24-26,2009.
15. Wei He Chunhe Xia cheng Zhang Yi JiXinyi Ma (2008) – A Network Security Risk Assessment framework based on Game Theory. School of Computer Science and Engg. Beihang University. IEEE DOI 10.11.09/FGCN– `IEEE & CSI Jnl.
16. Min-kyu-Choi, Rosslin John Robles, Chang-hwa Hong, Tai-hoon Kim (2008), “Wireless Network Security: Vulnerabilities, Threats and Counter measures”. International journal of Multimedia and Ubiquitous Engineering Vol.3, No. 3, July 2008
17. B. Parno, M. Luk, E. Gaustad, and A. Perrig, “Secure Sensor Network Routing: A Clean-Slate Approach,” CoNEXT: Proc. ACM CoNEXT Conf., 2006.
18. A Mahimkar and V. Shmatikov,”On the advantage of network coding for improving network throughput” In Proceedings of 18th IEEE computer Society Foundations Workshop, 2005.
19. Nong Ye Sr.MemberIEEE,Yebin Zhan, Connie M Borror “Robustness of the Markov-Chain Method for Cyber-Attack Detection”, IEEE transactions on reliability, Vo l53, No.1 March, 2004
20. B. Parno, M. Luk, E. Gaustad, and A. Perrig, (2006)“Secure Sensor Network Routing: A Clean-Slate Approach,” CoNEXT: Proc. ACM CoNEXT Conf.
21. A.Mahimkar, V.Shmatikov(2005), “On the advantage of network coding for improving network throughput” in Proceedings of 18th IEEE computer Society Foundations Workshop
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