A Learning-Based Solution for an Adversarial Repeated Game in Cyber–Physical Power Systems
Shuva Paul; Zhen Ni; Chaoxu Mu · 2019 · IEEE Transactions on Neural Networks and Learning Systems
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Due to the rapidly expanding complexity of the cyber-physical power systems, the probability of a system malfunctioning and failing is increasing. Most of the existing works combining smart grid (SG) security and game theory fail to…
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1109/tnnls.2019.2955857