A GENERIC TRUST MANAGEMENT FRAMEWORK FOR HETEROGENEOUS SENSORS IN CYBER PHYSICAL SYSTEMS
DOI:
https://doi.org/10.22159/ajpcr.2017.v10s1.19631Keywords:
Cyber Physical Systems, Network Security, Selfish Nodes, Trust Management, Wireless Sensor NetworkAbstract
Objective: Wireless Technology†is the magic word in today's era. In which, Cyber Physical Systems (CPS) is the booming world which binds the physical world and cyber world together. The CPS is also called as Safety Critical System because of the human life involvement. In this emerging technology, lots of heterogeneous sensors are involved and each sensor will play an important role. If something goes wrong with sensor or sensor data. It will definitely affect the human life involved in it.
Methods: In this paper, we proposed a generic trust management framework for heterogeneous sensors which will detect the sensor data falsification (Data Integrity), faulty sensor reading, and packet dropping nodes (Selfish Nodes) through rules and rating concept.
Results: The efficiency of the proposed framework is evaluated with the help of Network Simulator 2 (NS-2.35). The maximum numbers of untrusted nodes are identified in point 0.40 than Multi-Level Trust Framework for Wireless Sensor Network (MTF-WSN) and Framework for Packet-Droppers Mitigation (FPDM). It is also evident that Trust Management Framework for Cyber Physical Systems (TRMF-CPS) identifies maximum number of untrusted nodes in the detection range of 0.35 and 0.45. Therefore, 0.35 and 0.45 are considered as maximum and minimum threshold points for effective untrusted nodes.
 Conclusion:The experimentation results and comparative study shows that, our trust management framework will easily detected sensors which misbehave.
Â
Downloads
References
Boukerch, A., Xu, L. and El-Khatib, K., 2007. Trust-based security for wireless ad hoc and sensor networks. Computer Communications, 30(11), pp. 2413-2427.
Michiardi, P. and Molva, R., 2002. Core: a collaborative reputation mechanism to enforce node cooperation in mobile ad hoc networks. In Advanced communications and multimedia security (pp. 107-121). Springer US.
Zouridaki, C., Mark, B.L., Hejmo, M. and Thomas, R.K., 2005, November. A quantitative trust establishment framework for reliable data packet delivery in MANETs. In Proceedings of the 3rd ACM workshop on Security of ad hoc and sensor networks (pp. 1-10). ACM.
Zhang, B., Huang, Z. and Xiang, Y., 2014. A novel multiple-level trust management framework for wireless sensor networks. Computer Networks, 72, pp.45-61.
Han, G., Jiang, J., Shu, L., Niu, J. and Chao, H.C., 2014. Management and applications of trust in Wireless Sensor Networks: A survey. Journal of Computer and System Sciences, 80(3), pp. 602-617.
Qureshi, B., Min, G. and Kouvatsos, D., 2012. A distributed reputation and trust management scheme for mobile peer-to-peer networks. Computer communications, 35(5), pp. 608-618.
Mitchell, R. and Chen, I.R., 2014. A survey of intrusion detection techniques for cyber-physical systems. ACM Computing Surveys (CSUR), 46(4), p. 55.
Akella, R., Tang, H. and McMillin, B.M., 2010. Analysis of information flow security in cyber–physical systems. International Journal of Critical Infrastructure Protection, 3(3), pp. 157-173.
Wu, F.J., Kao, Y.F. and Tseng, Y.C., 2011. From wireless sensor networks towards cyber physical systems. Pervasive and Mobile Computing, 7(4), pp. 397-413.
Yu, H., Shen, Z., Miao, C., Leung, C. and Niyato, D., 2010. A survey of trust and reputation management systems in wireless communications. Proceedings of the IEEE, 98(10), pp. 1755-1772.
Proto, F.S., Detti, A., Pisa, C. and Bianchi, G., 2011, June. A framework for packet-droppers mitigation in OLSR wireless community networks. In 2011 IEEE International Conference on Communications (ICC), (pp. 1-6). IEEE.
Shaikh, R.A., Jameel, H., d'Auriol, B.J., Lee, H., Lee, S. and Song, Y.J., 2009. Group-based trust management scheme for clustered wireless sensor networks. IEEE transactions on parallel and distributed systems, 20(11), pp. 1698-1712.
Ganeriwal, S., Balzano, L.K. and Srivastava, M.B., 2008. Reputation-based framework for high integrity sensor networks. ACM Transactions on Sensor Networks (TOSN), 4(3), p.15.
Bao, F., Chen, I.R., Chang, M. and Cho, J.H., 2011, March. Hierarchical trust management for wireless sensor networks and its application to trust-based routing. In Proceedings of the 2011 ACM Symposium on Applied Computing (pp. 1732-1738). ACM.
Published
How to Cite
Issue
Section
The publication is licensed under CC By and is open access. Copyright is with author and allowed to retain publishing rights without restrictions.
