Robust Intrusion Detection in Dynamic Networks | IEEE Conference Publication | IEEE Xplore

Robust Intrusion Detection in Dynamic Networks


Abstract:

This paper considers the problem of robustly identifying m intruders in a network consisting of n cooperative agents which are subject to unknown disturbances. First, a d...Show More

Abstract:

This paper considers the problem of robustly identifying m intruders in a network consisting of n cooperative agents which are subject to unknown disturbances. First, a distributed system model is introduced so that the relationship between agents, the attacks and unknown disturbances can be captured. Next, the distributed identification scheme is formulated as a spectral assignment problem and necessary filter gains are obtained through a carefully constructed linear system of equations. Necessary and sufficient conditions to decouple the unknown disturbances from the agents residual generators are derived in terms of filter gain matrices. It is shown that the problem of discriminating between unknown disturbances and attacks in a distributed system under consensus dynamics can be reduced to the problem of determining a set of constraints on the spectrum of the residual generator coefficient matrices. The approach is illustrated through an example.
Date of Conference: 19-21 August 2019
Date Added to IEEE Xplore: 05 December 2019
ISBN Information:
Conference Location: Hong Kong, China

Contact IEEE to Subscribe

References

References is not available for this document.