Domhnall Carlin
Orcid: 0000-0002-8424-2757
According to our database1,
Domhnall Carlin
authored at least 15 papers
between 2017 and 2024.
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Bibliography
2024
PEVuln: A Benchmark Dataset for Using Machine Learning to Detect Vulnerabilities in PE Malware.
Proceedings of the Conference on Applied Machine Learning in Information Security (CAMLIS 2024), 2024
2023
Where is all the research software? An analysis of software in UK academic repositories.
PeerJ Comput. Sci., 2023
2022
MFMCNS: a multi-feature and multi-classifier network-based system for ransomworm detection.
Comput. Secur., 2022
2021
Cybersecur., 2021
2020
MaldomDetector: A system for detecting algorithmically generated domain names with machine learning.
Comput. Secur., 2020
Proceedings of the 8th IEEE Conference on Communications and Network Security, 2020
2019
A cost analysis of machine learning using dynamic runtime opcodes for malware detection.
Comput. Secur., 2019
Proceedings of the 2019 International Conference on Cyber Security and Protection of Digital Services, 2019
2018
Int. J. Cyber Situational Aware., 2018
Proceedings of the 16th Annual Conference on Privacy, Security and Trust, 2018
Proceedings of the 2018 International Conference on Cyber Security and Protection of Digital Services, 2018
2017
The Effects of Traditional Anti-Virus Labels on Malware Detection Using Dynamic Runtime Opcodes.
IEEE Access, 2017