A Stochastic Approximation Approach for Improving Intrusion Detection Data Fusion Structures

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Executive Summary

A variety of attacks on MANET routing, forwarding, and infrastructure protocols can only be detected using distributed cooperative algorithms. One promising strategy is to organize cooperative intrusion detection activities as a multiple-level Intrusion Detection (ID) hierarchy in which each node reports intrusion detection observations to its parent. This enables detection decisions to be based on aggregated data that as been gathered and consolidated from neighborhoods and larger network regions efficiently. A key challenge is the selection and maintenance of a scalable and robust hierarchy that optimizes detection performance (e.g., low latency, continuous coverage) while incurring minimal cost (e.g., bandwidth consumption).

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