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Jack Hughes |
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Jack Hughes |
I'm Jack Hughes, a PhD student supervised by Alice Hutchings in the Department of Computer Science and Technology at the University of Cambridge.
My research interests are around developing novel tools and methodology to enable research with large, messy datasets at scale, which have explored the intersection of cybersecurity, cybercrime, natural language processing, and interpretable machine learning. My PhD work is based around analysis techniques for cybercrime pathways within underground discussion platforms.
Previously, I completed my MPhil under Alice Hutchings, looking at identifying characteristics of potential key actor groups on underground gaming forums, who may benefit most from interventions.
My email address is Jack . Hughes @ cl . cam . ac . uk
Hughes, J., 2023, July. Computational criminology: at-scale quantitative analysis of the evolution of cybercrime forums. PhD Thesis. [Repository]
Hughes, J., Pastrana, S., Hutchings, A., Afroz, S., Samtani, S., Li, W. and Santana Marin, E., 2024, February. The Art of Cybercrime Community Research. In ACM Computing Surveys Volume 56. IEEE. [IEEE published version (Open Access)]
Hughes, J., and Hutchings, A., 2023, July. Digital Drift and the Evolution of a Large Cybercrime Forum. In 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW). IEEE. [IEEE published version] [accepted manuscript]
Hughes, J., Caines, A., and Hutchings, A., 2023, July. Argot as a Trust Signal: Slang, Jargon & Reputation on a Large Cybercrime Forum. Workshop on Economics of Information Security 2023 (WEIS). [link]
Pete, I., Hughes, J., Caines, A., Vu, A. V., Gupta, H., Hutchings, A., Anderson, R. and Buttery, P., 2022, January. PostCog: A tool for interdisciplinary research into underground forums at scale. In 7th IEEE European Symposium on Security and Privacy Workshops, Euro S&PW 2022. IEEE. [DOI link]
Hughes, J., Chua, Y. T. and Hutchings, A., 2021, July. Too Much Data? Opportunities and Challenges of Large Datasets and Cybercrime. In: Lavorgna, A., Holt, T.J. (eds) Researching Cybercrimes. Palgrave Macmillan, Cham. [DOI link]
Hughes, J., Aycock, S., Caines, A., Buttery, P. and Hutchings, A., 2020, November. Detecting Trending Terms in Cybersecurity Forum Discussions. In Proceedings of the 6th Workshop on Noisy User-generated Text (W-NUT 2020). Association for Computational Linguistics (ACL). [ACL published version] [accepted manuscript]
Vu, A. V., Hughes, J., Pete, I., Collier, B., Chua, Y. T., Shumailov, I. and Hutchings, A., 2020, October. Turning Up the Dial: the Evolution of a Cybercrime Market Through Set-up, Stable, and Covid-19 Eras. In Proceedings of the ACM Internet Measurement Conference (IMC '20). Association for Computing Machinery (ACM). [ACM published version]
Pete, I., Hughes, J., Chua, Y. T. and Bada, M., 2020, September. A Social Network Analysis and Comparison of Six Dark Web Forums. In 2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW). IEEE. [IEEE published version]
Hughes, J., Collier, B. and Hutchings, A., 2019, November. From playing games to committing crimes: A multi-technique approach to predicting key actors on an online gaming forum. In 2019 APWG Symposium on Electronic Crime Research (eCrime) (pp. 1-12). IEEE. [IEEE published version] [accepted manuscript]
Outside of my studies, I previously managed the Security Seminar Series in the Department.