Controllable Fake Document Infilling for Cyber Deception

• URL: http://arxiv.org/abs/2210.09917v1
• Date: Tue, 18 Oct 2022 14:59:38 GMT
• Title: Controllable Fake Document Infilling for Cyber Deception
• Authors: Yibo Hu, Yu Lin, Erick Skorupa Parolin, Latifur Khan, Kevin Hamlen
• Abstract summary: We propose a novel model, Fake Document Infilling (FDI), by converting the problem to a controllable mask-then-infill procedure. FDI outperforms the baselines in generating highly believable fakes with moderate modification to protect critical information and deceive adversaries.
• Score: 31.734574811062053
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Recent works in cyber deception study how to deter malicious intrusion by generating multiple fake versions of a critical document to impose costs on adversaries who need to identify the correct information. However, existing approaches are context-agnostic, resulting in sub-optimal and unvaried outputs. We propose a novel context-aware model, Fake Document Infilling (FDI), by converting the problem to a controllable mask-then-infill procedure. FDI masks important concepts of varied lengths in the document, then infills a realistic but fake alternative considering both the previous and future contexts. We conduct comprehensive evaluations on technical documents and news stories. Results show that FDI outperforms the baselines in generating highly believable fakes with moderate modification to protect critical information and deceive adversaries.

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