Selfish Nodes Detection Based on Audit Mechanism in Mobile Ad-Hoc Networks
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Abstract
Mobile ad-hoc networks (MANETs) depends on network cooperation schemes in order to work properly. It assumes that mobile nodes could voluntary cooperate in order to work properly. Nevertheless, if nodes have a selfish behaviour in the sense and are unwilling to cooperate with other nodes,then the overall network performance could be seriously degraded. The proposed system develops a homomorphic linear Authenticator based public auditing architecture that allows the detector to verify the truthfulness of the packet loss information reported by nodes. The high detection accuracy is achieved by exploiting the correlations between the positions of lost packets, as calculated from the auto-correlation function (ACF) of the packet-loss bitmap a bitmap describing the lost or received status of each packet in a sequence of consecutive packet transmissions. Therefore, by detecting the correlations between lost packets, one can easily decide whether the packet loss is purely due to regular link errors, or is a combined effect of link error and selfish node. As shown in the paper, this audit based approach reduces the time and provide better detection accuracy.
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Keywords: MANETs, Audit Approach, Homomorphic Linear Authenticator, Auto-Correlation Function
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