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Distributed Detection Filter for Intrusion Detection

version (21.5 KB) by Sam Nazari
Detection Filter Design for distributed intrusion detection using spectral assignment


Updated 03 Jul 2016

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This submission simulates the implementation of a spectral approach to isolate multiple malicious agents in a dynamic network of cooperating agents. The problem addressed is the problem of simultaneously identifying m intruders in a network consisting of n cooperative agents. The simulation identifies attacks through a distributed scheme that uses detection filters. It has been shown that the problem of identifying multiple attackers can be formulated as a spectral assignment problem and that the filter gains can be obtained through a carefully constructed linear system of equations, which we implement here. Please see Nazari et al "Distributed Detection Filter Design for Intruder Identification" American Control Conference 2016 for more information.

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Sam Nazari (2019). Distributed Detection Filter for Intrusion Detection (, MATLAB Central File Exchange. Retrieved .

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Correcting typo.

MATLAB Release Compatibility
Created with R2015b
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