Detecting Sybil attacks in vehicular ad hoc networks

References

• Hamdan S, Al-Qassas RS, Tedmori S. Comparative study on Sybil attack detection schemes. Int J Comput Technol. 2015;14:5869–5876. doi: 10.24297/ijct.v14i7.1898
   Google Scholar
• Dabboussi A, Kouta R, Gaber J, et al. Analyzing the reliability for connected vehicles using qualitative approaches and quantitative methods. Safety and Reliability – Safe Societies in a Changing World. CRC Press; 2018. p. 2603–2610.
   Google Scholar
• Qian Y, Moayeri N. Design of secure and application-oriented VANETs. Vehicular Technology Conference, 2008, VTC Spring 2008, IEEE; 2008.
   Google Scholar
• Zhao Z, Guardalben L, Karimzadeh M, et al. Mobility prediction-assisted over-the-top edge prefetching for hierarchical VANETs. IEEE J Sel Areas Commun. 2018;36(8):1786–1801. doi: 10.1109/JSAC.2018.2844681
   Web of Science ®Google Scholar
• Newsome J, Shi E, Song D, et al. The Sybil attack in sensor networks: analysis & defenses. Proceedings of the Third International Symposium on Information Processing in Sensor Networks. ACM; 2004.
   Google Scholar
• Jain M, Saxena R. VANET: security attacks, solution and simulation. Proceedings of the Second International Conference on Computational Intelligence and Informatics. Springer; 2018.
   Google Scholar
• Rawat A, Sharma S, Sushil R. VANET: security attacks and its possible solutions. J Inf Oper Manage. 2012;3(1):301.
   Google Scholar
• Al-Sultan S, Al-Doori MM, Al-Bayatti AH, et al. A comprehensive survey on vehicular ad hoc network. J Netw Comput Appl. 2014;37:380–392. doi: 10.1016/j.jnca.2013.02.036
   Web of Science ®Google Scholar
• Aboobaker AKK. Performance analysis of authentication protocols in vehicular ad hoc networks (VANET) [Master of Science thesis]. Department of Mathematics, University of London; 2010.
   Google Scholar
• Patel A, Kaushik P. Improving QoS of VANET using adaptive CCA range and transmission range both for intelligent transportation system. Wirel Pers Commun. 2018;100(3):1063–1098. doi: 10.1007/s11277-018-5609-5
   Web of Science ®Google Scholar
• Sabahi F. The security of vehicular adhoc networks. 2011 Third International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN). IEEE; 2011.
   Google Scholar
• Alasmary W, Zhuang W. Mobility impact in IEEE 802.11p infrastructureless vehicular networks. Ad Hoc Netw. 2012;10(2):222–230. doi: 10.1016/j.adhoc.2010.06.006
   Web of Science ®Google Scholar
• Rai AK, Tewari RR, Upadhyay SK. Different types of attacks on integrated MANETInternet communication. Int J Comput Sci Secur. 2010;4(3):265–274.
   Google Scholar
• Porwal V, Patel R. A survey of VANETs: the platform for vehicular networking applications. Int J Adv Res Comput Eng Technol. 2014;3(8):2801–2805.
   Google Scholar
• Dhamgaye A, Chavhan N. Survey on security challenges in VANET 1. Int J Comput Sci 2013;2:88–96.
   Google Scholar
• Rawat A, Sharma S, Sushil R. VANET: security attacks and its possible solutions. J Inf Oper Manage. 2012;3(1):301–304.
   Google Scholar
• Hasrouny H, Samhat AE, Bassil C, et al. VANet security challenges and solutions: a survey. Veh Commun. 2017;7:7–20.
   Web of Science ®Google Scholar
• Raya M, Hubaux J-P. The security of vehicular ad hoc networks. Proceedings of the Third ACM Workshop on Security of Ad hoc and Sensor Networks. ACM; 2005.
   Google Scholar
• Grover J, Kumar D, Sargurunathan M, et al. Performance evaluation and detection of Sybil attacks in vehicular ad-hoc networks. Recent Trends in Network Security and Applications. Springer; 2010. p. 473–482.
   Google Scholar
• Haseeb K, Arshad M, Yasin S, et al. A survey of VANET’s authentication. Pakistan: Islamia College Peshawar; 2010.
   Google Scholar
• Yu B, Xu C-Z, Xiao B. Detecting Sybil attacks in vanets. J Parallel Distrib Comput. 2013;73(6):746–756. doi: 10.1016/j.jpdc.2013.02.001
   Web of Science ®Google Scholar
• Grover J, Gaur M, Laxmi V. Sybil attack in VANETs. Security of self-organizing networks: MANET, WSN, WMN, VANET. 2010, p. 269.
   Google Scholar
• Park S, Aslam B, Turgut D, et al. Defense against Sybil attack in vehicular ad hoc network based on roadside unit support. Military Communications Conference, 2009. MILCOM 2009. IEEE; 2009.
   Google Scholar
• Guette G, Ducourthial B. On the Sybil attack detection in VANET. IEEE International Conference on Mobile Adhoc and Sensor Systems, 2007. MASS 2007. IEEE; 2007.
   Google Scholar
• Yan G, Olariu S, Weigle MC. Providing VANET security through active position detection. Comput Commun. 2008;31(12):2883–2897. doi: 10.1016/j.comcom.2008.01.009
   Web of Science ®Google Scholar
• Viswanath B, Mondal M, Clement A, et al. Exploring the design space of social network-based Sybil defenses. 2012 Fourth International Conference on Communication Systems and Networks (COMSNETS). IEEE; 2012.
   Google Scholar
• Xiao B, Yu B, Gao C. Detection and localization of Sybil nodes in VANETs. Proceedings of the 2006 Workshop on Dependability Issues in Wireless Ad hoc Networks and Sensor Networks. ACM; 2006.
   Google Scholar
• Yan G, Yang W, Li J, et al. Active position security through dynamically tunable radar. 2010 IEEE 7th International Conference on Mobile Ad hoc and Sensor Systems (MASS). IEEE; 2010.
   Google Scholar
• Rahbari M, Jamali MAJ. Efficient detection of Sybil attack based on cryptography in VANET. arXiv Preprint ArXiv:1112.2257. 2011.
   Google Scholar
• Studer A, Shi E, Bai F, et al. TACKing together efficient authentication, revocation, and privacy in VANETs. 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad hoc Communications and Networks, 2009. SECON'09. IEEE; 2009.
   Google Scholar
• Chang S, Qi Y, Zhu H, et al. Footprint: detecting Sybil attacks in urban vehicular networks. IEEE Trans Parallel Distrib Syst. 2012;23(6):1103–1114. doi: 10.1109/TPDS.2011.263
   Web of Science ®Google Scholar
• Park S, Aslam B, Turgut D, et al. Defense against Sybil attack in the initial deployment stage of vehicular ad hoc network based on roadside unit support. Secur Commun Netw. 2013;6(4):523–538. doi: 10.1002/sec.679
   Web of Science ®Google Scholar
• Zhou T, Choudhury RR, Ning P, et al. P2DAP—Sybil attacks detection in vehicular ad hoc networks. IEEE J Sel Areas Commun. 2011;29(3):582–594. doi: 10.1109/JSAC.2011.110308
   Web of Science ®Google Scholar
• Rogaway P, Shrimpton T. Cryptographic hash-function basics: definitions, implications, and separations for preimage resistance, second-preimage resistance, and collision resistance. Fast Software Encryption. Springer; 2004.
   Google Scholar