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Computer Science > Cryptography and Security
Title: Honeyfile Camouflage: Hiding Fake Files in Plain Sight
(Submitted on 8 May 2024 (v1), last revised 10 May 2024 (this version, v2))
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 both perform well on a publicly available GitHub software repository dataset.
Submission history
From: Roelien Christien Timmer [view email][v1] Wed, 8 May 2024 02:01:17 GMT (93kb,D)
[v2] Fri, 10 May 2024 05:12:47 GMT (93kb,D)
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