Research Article
Social Insect-based Sybil Attack Detection in Mobile Ad-hoc Networks
@INPROCEEDINGS{10.4108/icst.bict.2014.258041, author={Parisa Memarmoshrefi and Hang Zhang and Dieter Hogrefe}, title={Social Insect-based Sybil Attack Detection in Mobile Ad-hoc Networks}, proceedings={8th International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)}, publisher={ICST}, proceedings_a={BICT}, year={2015}, month={2}, keywords={insect-based aggression sybil attack ad-hoc networks}, doi={10.4108/icst.bict.2014.258041} }- Parisa Memarmoshrefi
Hang Zhang
Dieter Hogrefe
Year: 2015
Social Insect-based Sybil Attack Detection in Mobile Ad-hoc Networks
BICT
ACM
DOI: 10.4108/icst.bict.2014.258041
Abstract
Due to the characteristics of mobile ad-hoc networks (MANETs) such as distributed self-organizing nature and multi-hops communication, bio-inspired approaches proposed to address challenges in these networks. Like in all communication networks, one of the major challenges in MANETs is security provision in these environments. As the traditional approaches such as Public Key Infrastructure (PKI) which are based on central authority are not suitable for dynamic, distributed and cooperative ad-hoc networks, one of the fundamental security threats in MANETs is Identity-based attack.
In this work we propose a scheme inspired of the social life of ants, to discriminant the sever Sybil attacker and their related shadow/hidden identities in a self-organized authentication mechanism. For this aim, we adapt the idea of discrimination between mate and non-mate members, in real ants’ life, based on aggression concept. We also present our simulation results and discuss some open research issues.