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Enhancing Strategic Decision-Making via Semantic Inference: An Antifragile Framework for Deception-Based Threat Profiling

The authors propose an antifragile framework that uses cyber deception with adaptive decoys and dynamic network movements to generate adversarial signals, infer threat actor profiles and support proactive decisions. A cyber threat intelligence ontology and a knowledge graph with semantic attributes represent tactical and strategic relationships between attackers and targets.

DecoyAdversary engagementMoving target defenseNetwork

What we know

The authors propose an antifragile framework that uses cyber deception with adaptive decoys and dynamic network movements to generate adversarial signals, infer threat actor profiles and support proactive decisions. A cyber threat intelligence ontology and a knowledge graph with semantic attributes represent tactical and strategic relationships between attackers and targets.

Evidence limits

Review limited to the Crossref deposited abstract; the full text, software and independent validity of results were not examined, and results are the authors' claims.

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

Sources and provenance

  1. Enhancing Strategic Decision-Making via Semantic Inference: An Antifragile Framework for Deception-Based Threat Profiling
    abstract · 2026-10-11

Reviewed: 2026-10-16. This record may change when new evidence is found.

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