Trust framework for attack resilience in MANET using AODV

References

• G. Arulkumaran and R. K. Gnanamurthy. Fuzzy trust approach for detecting black hole attack in mobile adhoc network. International conference on Mobile Networks and Applications, Amsterdam, Netherland, pages 1-8, (2017).
   Google Scholar
• M.Z. A. Bhuiyan, G. Wang, J. Wu, J. Cao, X. Liu, and T. Wang. Dependable structural health monitoring using wireless sensor networks. IEEE Trans. Depend. Sec. Comput., 14(4): 363-376, (2017). doi: 10.1109/TDSC.2015.2469655
   Web of Science ®Google Scholar
• R. H. Jhaveri and N. M. Patel. Mobile ad-hoc networking with AODV: A review, Int. J. Next-Generat. Comput., 6(3):165-191, (2015).
   Web of Science ®Google Scholar
• S. Peng, A. Yang, L. Cao, S. Yu, and D. Xie. Social influence modeling using information theory in mobile social networks . Information science, 379, pages 146-159, (2017). doi: 10.1016/j.ins.2016.08.023
   Web of Science ®Google Scholar
• T. A. Ramrekha, O. Adigun, A. Ladas, N. Weerasinghe, and C. Politis. Towards a scalable routing approach for mobile ad-hoc networks. In Proc. IEEE 20th Int.Workshop Comput. Aided Modeling, Design Commun. Links Netw. (CAMAD), Guildford, UK, pages 261-266, (2015).
   Google Scholar
• W. Yang, G. Wang, M. Z. A. Bhuiyand and K. R. Choo. Hypergraph partitioning for social networks based on information entropy modularity. J. Netw. Comput. Appl, 85, pages 59-71, (2017). [Online].Available: http://doi.org/10.1016/j.jnca.2016.10.002
   Google Scholar
• W. Jiang, G. Wang, M. Z. A. Bhuiyan, and J. Wu. Understanding graph based trust evaluation in online social networks: Methodologies and challenges. ACM Comput. Surv., 49(1),pages 10, (2016). doi: 10.1145/2906151
   Web of Science ®Google Scholar
• E. Luo, Q. Liu, and G. Wang. Hierarchical multi-authority and attribute-based encryption friend discovery scheme in mobile social networks. IEEE Commun. Lett. 20(9), pages 1772-1775, (2016). doi: 10.1109/LCOMM.2016.2584614
   Web of Science ®Google Scholar
• M. S. Khan, M. I. Khan, S.U.R. Malik, O. Khalid, M. Azim, and N. Javaid. MATF: A multi-attribute trust framework for MANETs. EURA-SIP J. Wireless Commun. Netw., 2016(1):197-213, (2016). doi: 10.1186/s13638-016-0691-4
   Google Scholar
• N. Marchang, R. Datta. Light-weight trust-based routing protocol for mobile ad hoc networks. IET Information Security, 6(2):77-83, (2012). doi: 10.1049/iet-ifs.2010.0160
   Web of Science ®Google Scholar
• S. A. Thorat and P. J. Kulkarni. Uncertainty analysis framework for trust based routing in MANET. Peer-to-Peer Netw. Appl., 10(4):1101–1111, (2017). doi: 10.1007/s12083-016-0510-z
   Web of Science ®Google Scholar
• A.M. Pushpa. Trust based secure routing in AODV routing protocol, IEEE International Conference on Internet Multimedia Services Architecture and Applications (IMSAA), Bangalore, India, pages1-6, (2009).
   Google Scholar
• Yan Sun, Wei Yu, Zhu Han and Liu K.J.R. Information theoretic framework of trust modeling and evaluation for ad hoc networks. IEEE Journal on selected areas in communications, 24(2):305-317, (2006). doi: 10.1109/JSAC.2005.861389
   Web of Science ®Google Scholar
• R.J. Cai, X.J. Li and P.H.J. Choong. An evolutionary self-cooperative trust scheme against routing disruptions in MANETs. IEEE transactions on Mobile Computing, 18(2): 42-55, (2019). doi: 10.1109/TMC.2018.2828814
   Google Scholar
• G. Vaseer, G. Ghai, D. Ghai and P.S. Patheja. A neighbor trust-based mechanism to protect mobile networks. IEEE potentials, 38(1): 20-25, (2019). doi: 10.1109/MPOT.2018.2850599
   Google Scholar
• T. Noguchi and M. Hayakawa. Blackhole attack prevention method using multiple RREPs in Mobile Ad hoc Network. IEEE International Conference on Trust, Security and Privacy in Computing and Communications, New York, USA, pages 539-544, (2018).
   Google Scholar
• M.B.M. Kamel, I. Alameri, A. N. Onaizah. A secure and trust based approach to mitigate blackhole attack on OADV based MANET. IEEE conference on Advance Information Technology, Electronic and Automation control, chongqing, China, pages 1278-1282, (2017).
   Google Scholar
• Perkins CE, Royer EM. Ad-hoc on-demand distance vector routing. In Mobile Computing Systems and Applications, Proceedings, WMC-SA’99, LA, USA, pages 90-100, (1999).
   Google Scholar
• G. M. Félix, M. P. Gregorio, and G.M.B Javier. Meta-tacs: A trust model demonstration of robustness through a genetic algorithm. Intelligent Automation & Soft Computing, 17, pages 41–59, (2011). doi: 10.1080/10798587.2011.10643132
   Web of Science ®Google Scholar
• K. Anusha and E. Sathiyamoorthy. A new trust-based mechanism for detecting intrusions in MANET. Information Security Journal:A global Perspective, 26(4):153-165, (2017).
   Google Scholar
• J. M. Anoranjini, A. Chandrasekar and S. jothi. Improved QoS and avoidance of black hole attacks in MANET using trust detection framework. Journal for control, Measurement, Electronics, Computing and Communications, 60(3):274-284, (2019).
   Google Scholar
• S. S. Verma, A. Kumar and R. B. Patel. QoS oriented dynamic flow preemption (DFP) in MANET. Journal of Information and Optimization Sciences, 39(1):183:193, (2017).
   Web of Science ®Google Scholar
• R. C. Poonia. Integration of traffic and network simulators for vehicular ad-hoc networks. Journal of Information and Optimization Sciences, 39(7):1583-1589, (2018). doi: 10.1080/02522667.2017.1406580
   Web of Science ®Google Scholar