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.
Sam Nazari (2019). Distributed Detection Filter for Intrusion Detection (https://www.mathworks.com/matlabcentral/fileexchange/57984-distributed-detection-filter-for-intrusion-detection), MATLAB Central File Exchange. Retrieved .