Open AccessSensor attack detection for cyber‐physical systems based on frequency domain partition
Author(s) -
Gu CaoYuan,
Zhu JunWei,
Zhang WenAn,
Yu Li
Publication year - 2020
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2019.1140
Subject(s) - cyber physical system , partition (number theory) , frequency domain , computer science , domain (mathematical analysis) , control theory (sociology) , real time computing , computer security , artificial intelligence , computer vision , control (management) , mathematics , mathematical analysis , combinatorics , operating system
This study is concerned with the attack detection (AD) problems in finite frequency domain for cyber‐physical systems with sensor attack. The frequency domain is divided into three frequency domains of low, medium and high, multiple AD filters are designed to work simultaneously. The attack detectionAD problem is transformed into a multi‐objective optimisation schemes for each finite frequency domain. Finally, the experimental results of networked motion control system are given to verify the effectiveness and superiority of proposed method.