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swarm optimization

topic1 events
papersSEP 10 04:00 UTC

Researchers propose Chameleon, an adaptive AI-driven honeypot architecture for cyber deception

A new arXiv preprint introduces Chameleon, a honeypot framework that adjusts its behavior on the fly using swarm-optimization tuned to threat levels and semantic deception planning built on rapidly-exploring random trees. The approach targets a key weakness of decoy systems, namely that experienced intruders can unmask them after a handful of routine probes, while also serving as a lower-cost alternative to enterprise deception suites priced in the six figures. The version-2 paper appears in the cs.AI category.

cybersecurity/honeypots/deception/optimization