Social Insect-based Sybil Attack Detection in Mobile Ad-hoc Networks

Memarmoshrefi, Parisa; Zhang, Hang; Hogrefe, Dieter

doi:10.4108/icst.bict.2014.258041

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…They have already been applied successfully in different network contexts such as data routing and distribution [?, 11]. Furthermore, based on the interesting phenomena of ants' behaviors, ant colony inspired security mechanisms can be derived [12]. In nature, each ant has a Cuticular Hydrocarbon (CHC) profile in which diverse information about the ant itself and its environment can be encoded [13,4].…”

Section: Biological Backgroundmentioning

confidence: 99%

Identity Deception and Game Deterrence via Signaling Games

Casey

Memarmoshrefi

Kellner

et al. 2016

Proceedings of the 9th EAI International Conference on Bio-Inspired Information and Communications Technologies (Formerly BIONE

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Maintenance and verification of persistent identities is an important problem in the area of networking. Particularly, their critical roles in Wireless Ad-hoc networks (WANETs) have become even more prominent as they begin to be deployed in several application domains. In these contexts, Sybil attacks, making use of replicated deceptive identities, represent a major challenge for the designers of these networks. Inspired by biological models of ant colonies and their dynamics studied via information asymmetric signaling games, we propose an architecture that can withstand Sybil attacks, similar to ants, using complex chemical signaling systems and associated physical actions, naturally 'authenticate' colony members. Here, we present a biomimetic authentication protocol with mechanisms similar to the physical processes of chemical diffusion, and formalize approaches to tame the deceptive use of identities; we dub the resulting game an "identity management signaling game". To consider network system of nodes, pursuing non-cooperative and deceptive strategies, we develop an evolutionary game system allowing cooperative nodes to mutate deceptive strategies. We empirically study the dynamics using simulation experiments to select the parameters which affect the overall behaviors. Through experimentation we consider how an incentive package in the form of a shared database can impact system behavior.

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Section: Biological Backgroundmentioning

confidence: 99%

Identity Deception and Game Deterrence via Signaling Games

Casey

Memarmoshrefi

Kellner

et al. 2016

Proceedings of the 9th EAI International Conference on Bio-Inspired Information and Communications Technologies (Formerly BIONE

Self Cite

View full text Add to dashboard Cite

show abstract

“…The point that classifies nodes into honest and attacker classes which is most matched to the real attacker/honest nodes in the network, is considered as the best cutoff point. Nodes with dissimilar behavior classified in different groups and lead to have more aggression/distrust toward each other [2]. In the learning phase, 360 scenarios were performed in QualNet.…”

Section: Learning Phase 31 Similarity Nodes' Behaviormentioning

confidence: 99%

“…Generally in a self-organized networks system each individual needs a learning phase to verify the certificates, as there is no central certificate authority. In this work we focus on investigating the learning phase of a bioinspired authentication mechanism [2].…”

Section: Introductionmentioning

confidence: 99%