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Wireless sensing element networks (WSNs) area unit vulnerable to selective forwarding attacks which will maliciously drop asubset of forwarding packets to degrade network performance and jeopardize the data integrity. Meanwhile, due to the unstable wireless channel in WSNs, the packet loss rate during the communication of sensing element nodes could also be high and vary from time to time. It poses a good challenge to tell apart the malicious drop and traditional packet loss. During this paper, we propose a Channel-aware name System with adaptive detection threshold (CRS-A) to find selective forwarding attacks in WSNs. The CRS-A evaluates the information forwarding behaviors of sensor nodes, in step with the deviation of the monitored packet loss and also the calculable traditional loss. To optimize the detection accuracy of CRS-A, we tend to in theory derive the best threshold for forwarding analysis, that is adaptive to the time varied channel condition and also the calculable attack chances of compromised nodes. What is more, AN attack-tolerant information forwarding theme is developed to collaborate with CRS-A for stimulating the forwarding cooperation of compromised nodes and up the information delivery magnitude relation of the network. Extensive simulation results demonstrate that CRS-A will accurately find selective forwarding attacks and determine the compromised sensing element nodes, whereas the attack-tolerant information forwarding theme will significantly improve the information delivery magnitude relation of the network.

Channel aware reputation system with adaptive detection using AODV protocol during forward attack in wireless sensor network