Intrusion Detection for Wireless Mesh Networks using Finite State Machine

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Wireless Mesh Networks is vulnerable to attacks due to the open medium,dynamically changing network topology,cooperative algorithms,lack of centralized monitoring and management point.The traditional way of protecting networks with firewalls and encryption software is no longer sufficient and effective for those features. In this paper,we propose a distributed intrusion detection approach based on timed automata. A cluster-based detection scheme is presented,where periodically a node is elected as the monitor node for a cluster.These monitor nodes can not only make local intrusion detection decisions,but also cooperatively take part in global intrusion detection. And then we construct the Finite State Machine (FSM) by the way of manually abstracting the correct behaviors of the node according to the routing protocol of Dynamic Source Routing (DSR). The monitor nodes can verify every nodes behavior by the Finite State Ma-chine (FSM),and validly detect real-time attacks without signatures of intrusion or trained data.Compared with the architecture where each node is its own IDS agent,our approach is much more efficient while maintaining the same level of effective-ness. Finally,we evaluate the intrusion detection method through simulation experiments.
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