Personal profile
Research Focus
Exploitable Vulnerabilities in Malware for Offensive Security in Detection Technology
Research Interests
Cyber Security and Artificial Intelligence
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Dive into the research topics where Nathan Ross is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
- 2 Conference contribution
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On the limitations of fuzzy hashing for malware similarity: an analysis of vulnerable code detection in malware
Ross, N., Olukoya, O. & Martínez Del Rincón, J., 02 Feb 2026, 2025 IEEE 24th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom): Proceedings. IEEE, p. 332-343 12 p. (IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom): proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile1 Downloads (Pure) -
PEVuln: a benchmark dataset for using machine learning to detect vulnerabilities in PE malware
Ross, N., Olukoya, O., Martínez del Rincón, J. & Carlin, D., 09 Feb 2025, Conference on Applied Machine Learning for Information Security (CAMLIS 2024): Proceedings. CEUR-WS, Vol. 3920. p. 83-113 30 p. (CEUR Workshop Proceedings; vol. 3920).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile863 Downloads (Pure)