What we know
The article discusses how cyber deception can change an attacker's perception of the network environment and lead attackers to false beliefs about which systems contain critical information. The authors introduce game theory models and discuss techniques combining artificial intelligence algorithms with those models to estimate hidden states of the attacker using feedback through payoffs, in order to learn how best to defend the system using cyber deception.
Evidence limits
Review based only on the Crossref-deposited abstract; the full text was not read, results were not replicated, and the actual effectiveness of the proposed techniques was not evaluated.
Reviewed: author abstract. Full-text results were not analyzed.
Sources and provenance
- Artificial Intelligence and Game Theory Models for Defending Critical Networks with Cyber Deception
abstract · 2026-10-11
Reviewed: 2026-10-16. This record may change when new evidence is found.