Project Title: - :-
Fast Detection Of Mobile Replica Node Attacks In Wireless Sensor Networks
Using Sequential Hypothesis Testing
Abstract
Due to the unattended nature of
wireless sensor networks, an adversary can capture and compromise sensor nodes,
make replicas of them, and then mount a variety of attacks with these replicas.
These replica node attacks are dangerous because they allow the attacker to
leverage the compromise of a few nodes to exert control over much of the
network. Several replica node detection schemes have been proposed in the
literature to defend against such attacks in static sensor networks. However,
these schemes rely on fixed sensor locations and hence do not work in mobile
sensor networks, where sensors are expected to move. In this work, we propose a
fast and effective mobile replica node detection scheme using the Sequential
Probability Ratio Test. To the best of our knowledge, this is the first work to
tackle the problem of replica node attacks in mobile sensor networks. We show
analytically and through simulation experiments that our scheme detects mobile
replicas in an efficient and robust manner at the cost of reasonable overheads.
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