An adaptive Markov strategy for defending smart grid false data injection from malicious attackers

• Main Authors: HAO, Jianye, KANG, Eunsuk, SUN, Jun, WANG, Zan, MENG, Zhaopeng, LI, Xiaohong, MING, Zhong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/4865
• Institution: Singapore Management University

We present a novel defending strategy, adaptive Markov strategy (AMS), to protect a smart-grid system from being attacked by unknown attackers with unpredictable and dynamic behaviors. One significant merit of deploying AMS to defend the system is that it is theoretically guaranteed to converge to a...