What we know
Vision paper on automated generation of realistic deception artifacts with machine learning.
Evidence limits
It is neither a systematic review nor an evaluation of an integrated system.
Reviewed: Full text.
Full-text review · 2026-09-16
Design and scope
Vision paper covering ML generation of hosts, documents, activity and communications.
Main finding
Identifies scalable realistic generation as a central opportunity and organizes risks and research directions.
Evidence limits
It is neither a systematic review nor an evaluation of an integrated system.
Sources and provenance
- Deception for Cyber Defence: Challenges and Opportunities
Full text · 2026-09-16
Reviewed: 2026-09-16. This record may change when new evidence is found.