Detecting PLC Intrusions Using Control Invariants
Author:
Affiliation:
1. State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China
2. Department of Computer Science and Engineering, University of Colorado, Denver, CO, USA
Funder
Science and Technology Innovation 2030 Program
National Natural Science Foundation of China
Zhejiang Provincial Natural Science Foundation
Institutional Grant at UC Denver
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/9789736/09749129.pdf?arnumber=9749129
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