Journal Title : International Journal of Modern Trends in Engineering and Science
Volume 03 Issue 06 2016
ISSN no: 2348-3121
Page no: 56-63
Abstract – In multi -hop wireless ad hoc network link error and malicious packet dropping are two sources for packet losses. Whether the losses are caused by link errors only, or by the combined effect of link errors and malicious drop are to be identified, can be known by observing a sequence of packet losses in the network. In this paper, while observing a sequence of packet losses in the network, we are interested in determining whether the losses are caused by link errors only, or by the combined effect of link errors and malicious drop. We are especially interested in the insider-attack case, whereby malicious nodes that are part of the route exploit their knowledge of the communication context to selectively drop a small amount of packets critical to the network performance. Because the packet dropping rate in this case is comparable to the channel error rate, conventional algorithms that are based on detecting the packet loss rate cannot achieve satisfactory detection accuracy. To improve the detection accuracy, we propose to exploit the correlations between lost packets. Furthermore, to ensure truthful calculation of these correlations, we develop a Homomorphic linear authenticator (HLA) based public auditing architecture that allows the detector to verify the truthfulness of the packet loss information reported by nodes. This construction is privacy preserving, collusion proof, and incurs low communication and storage overheads. To reduce the computation overhead of the baseline scheme, a packet-block-based mechanism is also proposed, which allows one to trade detection accuracy for lower computation complexity. The packet drop detection doesn’t send the complete data to the destination. The alternate route discovery and the destination should be authorized before the block of packets decode. Through extensive simulations, we verify that the proposed mechanisms achieve significantly better detection accuracy than conventional methods such as a maximum- likelihood based detection.
Keywords— Homomorphic, HLA(Homomorphic Linear Authenticator), Denial-of-Service(DoS)
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