A Labeled RFS-Based Framework for Multiple Integrity Attackers Detection and Identification in Cyber–Physical Systems-Reference-Cited by-同舟云学术

A Labeled RFS-Based Framework for Multiple Integrity Attackers Detection and Identification in Cyber–Physical Systems

Author:

Yang Chaoqun¹^ORCID,Mo Lei¹^ORCID,Cao Xianghui²^ORCID,Zhang Heng³^ORCID,Shi Zhiguo⁴^ORCID

Affiliation:

1. School of Automation, Southeast University, Nanjing, China

2. School of Automation and the School of Cyber Science and Engineering, Southeast University, Nanjing, China

3. School of Computer Engineering, Jiangsu Ocean University, Lianyungang, China

4. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China

Funder

Start-Up Research Fund of Southeast University

National Key Research and Development Program of China

National Natural Science Foundation of China

Zhishan Scholars

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference41 articles.

3. Cyberattack victims often attacked by multiple adversaries: Research;townsend,2022

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2. Bayesian CFAR Detector in Weibull Clutter via Interference Control;2023 IEEE/CIC International Conference on Communications in China (ICCC);2023-08-10