Performance and Analysis of Sybil Attack and Its Effect in MANET

Chaman Kumar^1, and Anil Kumar^2,

¹Department of Computer Science Engineering, Echelon Institute of Technology Faridabad, India

²Department Mathematics, Echelon Institute of Technology Faridabad, India

Cite this paper:
Chaman Kumar and Anil Kumar. Performance and Analysis of Sybil Attack and Its Effect in MANET. American Journal of Modeling and Optimization. 2019; 7(1):1-7. doi: 10.12691/ajmo-7-1-1

Abstract

Detection of Sybil attack in mobile ad hoc network (MANET) has been a challenging issue in the context of network scalability, limited resource and complexity of the proposed methods. Literature review shows that most of the detection algorithms suffer from the above constraints and could not exhibit their proper efficiency and performance. This paper introduces the technique of formation of Sybil attack using simulation and study the impact of this attack on the major parameters on network. We also propose some unique detection technique on the basis of the analysis of this parameter.

Keywords:
Sybil attack MANET NS2 network node computer model

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]	F. Schreiber, S. Mart´ınez, and L. Vigil. Sybil. 1981.
[2]	John R. Douceur, The Sybil Attack, Microsoft Researchjohndo@microsoft.com.
[3]	A. Jøsang and J. Golbeck. ”Challenges for robust of trust and reputation systems”, Sept. 2009.
[4]	G. Urdaneta, G. Pierre, and M. van Steen. “A survey of DHT security techniques”. ACM Computing Surveys,43(2), Jan. 2011. http://www.globule.org/publi/ SDST_acmcs2009.html.
[5]	J. Newsome, E. Shi, D. Song, and A. Perrig. “The sybil attack in sensor networks: analysis defenses.” In Information Processing in Sensor Networks, 2004. IPSN 2004. Third International Symposium on, pages 259-268, april 2004.
[6]	N. Margolin and B.N. Levine.Quantifying and discouraging sybilattacks. Technical report, UMass Amherst, 2005.
[7]	J. R. Douceur. The sybil attack. In IPTPS ’01: Revised Papers from the First InternationalWorkshop on Peer-to-Peer Systems, pages 251-260, London, UK, 2002. Springer- Verlag.
[8]	J. Chen, P. Druschel, and D. Subramanian, “An efficient multipath forwarding method,” Proc. IEEE INFOCOM, pp. 1418-1425, 1998.
[9]	K. Ishida, Y. Kakuda, and T. Kikuno, “A routing protocol for finding two node-disjoint paths in computer networks,” Proc. IEEE Int’l Conf.Network Protocols, pp. 340-347, 1995.
[10]	W. H. Liao, Y. C. Tseng, and J.P. Sheu, “GRID: A fully location-aware routing protocol for mobile ad hoc networks,” Telecomm. Systems, vol. 18, no. 1, pp. 37-60, 2001.
[11]	G. Wurster, P. v. Oorschot, A. Somayaji, "A generic attack on checksumming-based software tamper resistance", IEEE Symposium on Security and Privacy, 2005.
[12]	Trifaa Z., Khemakhemb M., “Sybil Nodes as a Mitigation Strategy against Sybil Attack”, International Workshop on Secure Peer-to- Peer Intelligent Networks & Systems (SPINS-2014), Procedia Computer Science 32 ( 2014 )pp 1135 – 1140, June 2014.
[13]	Alvisi L., Clement A., Epasto A., Lattanzi S., Panconesi A.,SoK: “The Evolution of Sybil Defense via Social Networks, Security and Privacy (SP)”, 2013 IEEE Symposium on Security and Privacy (SP), pp 382-396, 19-22 May 2013.
[14]	Demirbas M., Song Y., “An RSSI-based Scheme for Sybil Attack Detection in Wireless Sensor Networks”, in Proceedings of WoWMoM 2006, pp. 570.