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Hauptverfasser: Sun, Yifan, Lu, Jianquan, Ho, Daniel W. C., Li, Lulu
Format: Preprint
Veröffentlicht: 2023
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2312.05852
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author Sun, Yifan
Lu, Jianquan
Ho, Daniel W. C.
Li, Lulu
author_facet Sun, Yifan
Lu, Jianquan
Ho, Daniel W. C.
Li, Lulu
contents In this paper, we develop a new denial-of-service (DoS) estimator, enabling defenders to identify duration and frequency parameters of any DoS attacker, except for three edge cases, 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 multi-agent systems and impulsive stabilization of nonlinear systems, for illustration.
format Preprint
id arxiv_https___arxiv_org_abs_2312_05852
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Real-time Estimation of DoS Duration and Frequency for Security Control
Sun, Yifan
Lu, Jianquan
Ho, Daniel W. C.
Li, Lulu
Systems and Control
Optimization and Control
In this paper, we develop a new denial-of-service (DoS) estimator, enabling defenders to identify duration and frequency parameters of any DoS attacker, except for three edge cases, 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 multi-agent systems and impulsive stabilization of nonlinear systems, for illustration.
title Real-time Estimation of DoS Duration and Frequency for Security Control
topic Systems and Control
Optimization and Control
url https://arxiv.org/abs/2312.05852