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Honeyfile Camouflage: Hiding Fake Files in Plain Sight
May 9, 2024, 4:47 a.m. | Roelien C. Timmer, David Liebowitz, Surya Nepal, Salil S. Kanhere
cs.CL updates on arXiv.org arxiv.org
Abstract: Honeyfiles are a particularly useful type of honeypot: fake files deployed to detect and infer information from malicious behaviour. This paper considers the challenge of naming honeyfiles so they are camouflaged when placed amongst real files in a file system. Based on cosine distances in semantic vector spaces, we develop two metrics for filename camouflage: one based on simple averaging and one on clustering with mixture fitting. We evaluate and compare the metrics, showing that …
abstract arxiv challenge cosine cs.ai cs.cl cs.cr fake file files file system honeypot information paper semantic type vector
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