Abstract
In this paper, we address the problem of intrusion detection in wireless sensor networks (WSNs) using a learning automata (LA)-based approach. We are not aware of any LA-based intrusion detection systems (IDSs) solutions for WSNs. Additionally, the S-model approach that we have taken to solve the problem, where in the feedback of the environment to the automaton can not only be completely favourable or completely unfavourable, but also be any continuous value within these extremities, makes it one of the attractive solution approaches in LA. We have rigorously evaluated the performance of our proposed solution by performing a variety of experiments and have found our solution approach to be promising.
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