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Real-Time Estimation of DoS Duration and Frequency for Security Control

Yifan Sun, Jianquan Lu, Daniel W. C. Ho, Lulu Li

2025IEEE Transactions on Automatic Control12 citationsDOI

Abstract

In this article, we develop a new <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">denial-of-service (DoS) estimator</i>, enabling defenders to identify duration and frequency parameters of any DoS attacker, except for three <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">edge cases</i>, exclusively using real-time data. The key advantage of the estimator lies in its capability to facilitate security control in a wide range of practical scenarios, even when the attacker's information is previously unknown. We demonstrate the advantage and application of our new estimator in the context of two classical control scenarios, namely, consensus of multiagent systems and impulsive stabilization of nonlinear systems, for illustration.

Topics & Concepts

Duration (music)EstimationComputer scienceControl (management)Control theory (sociology)EngineeringArtificial intelligenceAcousticsPhysicsSystems engineeringSecurity in Wireless Sensor NetworksSmart Grid Security and ResilienceEnergy Efficient Wireless Sensor Networks
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