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Co-ADAM: a co-evolutionary signaling game framework for equilibrium cyber deception in industrial IoT

The paper introduces Co-ADAM, a defense framework that formalizes cyber deception in the Industrial Internet of Things (IIoT) as a constrained Markov decision process with an embedded signaling game, aiming to jointly model the deception investment level and a co-evolutionary adversary that accumulates skepticism. The authors describe training a deep Q-network (DQN) defender against an adaptive attacker pool with budget constraints and skepticism dynamics embedded in the environment, and report evaluation on several IIoT datasets and a physical testbed.

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What we know

The paper introduces Co-ADAM, a defense framework that formalizes cyber deception in the Industrial Internet of Things (IIoT) as a constrained Markov decision process with an embedded signaling game, aiming to jointly model the deception investment level and a co-evolutionary adversary that accumulates skepticism. The authors describe training a deep Q-network (DQN) defender against an adaptive attacker pool with budget constraints and skepticism dynamics embedded in the environment, and report evaluation on several IIoT datasets and a physical testbed.

Evidence limits

Review limited to the title and abstract deposited in Crossref; the full text was not read and the described results, software, or effectiveness were not independently validated.

Reviewed: author abstract. Full-text results were not analyzed.

Sources and provenance

  1. Co-ADAM: a co-evolutionary signaling game framework for equilibrium cyber deception in industrial IoT
    abstract · 2026-10-11

Reviewed: 2026-10-13. This record may change when new evidence is found.

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