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Summary: Channel-Aware Detection of Gray Hole Attacks in
Wireless Mesh Networks
Devu Manikantan Shila, Yu Cheng
and Tricha Anjali
Dept. of Electrical and Computer Engineering,
Illinois Institute of Technology, Chicago, USA
Abstract--Gray hole attacks (a.k.a selective forwarding at-
tacks) are a special case of denial of service (DoS) attack,
where a misbehaving mesh router just forwards a subset of the
packets it receives but drops the others. In wireless networks,
it is particularly hard to detect the presence of such attackers
because a packet loss over the wireless link can be due to
bad channel quality, medium access collisions, or intentional
dropping. In contrast to existing studies, we propose a more
practical algorithm known as channel aware detection (CAD)
that adopts two strategies, hop-by-hop loss observation and traffic
overhearing, to detect the mesh nodes subject to the attack.
We derive the optimal detection thresholds by analyzing the
false alarm and missed detection probabilities of CAD. We also
compare our approach to existing solutions and demonstrate
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