TJ Nel | Ph.D. Malware Researcher. Hacker.
TJ Nel is a Ph.D graduate who focuses on malware research, reverse engineering and GenAI. He also works in the cybersecurity industry overseeing incident response and threat research teams.
Email: me[at]tjnel[dot]net
PGP Fingerprint: 7FDE E36A 4A4D EEAF 917F AD45 F769 1246 5675 20E7
Publications
- Nelson, T. (2025). Malware classification using weighted control flow graphs [Doctoral dissertation, Dakota State University]. Beadle Scholar.
- Nelson, T., O’Brien, A., Noteboom, C., Xu, S. (2024). WCFG: A Weighted Control Flow Graph Dataset Design for Malware Classification. In: Kadoch, M., Lu, K., Ye, F., Qian, Y. (eds) Proceedings of the International Symposium on Intelligent Computing and Networking 2024. ISICN 2024. Lecture Notes in Networks and Systems, vol 1094. Springer, Cham. https://doi.org/10.1007/978-3-031-67447-1_15
- Nelson, T., Nance, C., & Noteboom, C. (2023, March). Web Injection and Banking Trojan Malware-A Systematic Literature Review. In 2023 6th International Conference on Information and Computer Technologies (ICICT) (pp. 45-53). IEEE.
- Nelson, T., O’Brien, A., & Noteboom, C., “MACHINE LEARNING APPLICATIONS IN MALWARE CLASSIFICATION: A META- ANALYSIS LITERATURE REVIEW,” vol. 12, 2023.
- Nelson, T., & Kettani, H. (2020, March). Open Source PowerShell-Written Post Exploitation Frameworks Used by Cyber Espionage Groups. In 2020 3rd International Conference on Information and Computer Technologies (ICICT) (pp. 451-456). IEEE.
- Dangi, B., Gamet, J., Kulm, A., Nelson, T., O'brien, A, & Pauli, W. E. (2020). Alert Prioritization and Strengthening: Towards an Industry Standard Priority Scoring System for IDS Analysts using Open Source Tools and Models of Machine Learning. South Dakota Law Review, 65(3).