A tractable framework for optimal stealthy attacks in partially observed linear systems via innovation likelihood detection, with hierarchical optimization and separation principle yielding semi-explicit adaptive attacks.
Optimal attack strategies subject to detection constraints against cyber-physical systems.IEEE Transactions on Control of Network Systems, 5(3):1157–1168
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Optimal Design of Stealthy Attacks in Partially Observed Linear Systems: A Likelihood-Based Approach
A tractable framework for optimal stealthy attacks in partially observed linear systems via innovation likelihood detection, with hierarchical optimization and separation principle yielding semi-explicit adaptive attacks.