May 9, 2024, 4:11 a.m. | Roelien C. Timmer, David Liebowitz, Surya Nepal, Salil S. Kanhere

cs.CR updates on arXiv.org arxiv.org

arXiv:2405.04758v1 Announce Type: new
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 …

arxiv challenge cs.ai cs.cl cs.cr detect fake file files file system honeypot information malicious real semantic system

CyberSOC Technical Lead

@ Integrity360 | Sandyford, Dublin, Ireland

Cyber Security Strategy Consultant

@ Capco | New York City

Cyber Security Senior Consultant

@ Capco | Chicago, IL

Sr. Product Manager

@ MixMode | Remote, US

Corporate Intern - Information Security (Year Round)

@ Associated Bank | US WI Remote

Senior Offensive Security Engineer

@ CoStar Group | US-DC Washington, DC