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Sethi, K, Kumar, R, Prajapati, N and Bera, P (2020). A Lightweight Intrusion Detection System using Benford's Law and Network Flow Size Difference. Proceedings of 2020 International Conference on COMmunication Systems NETworkS (COMSNETS).

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Fernandes, P, Ciardhuáin, SÓ and Antunes, M (2024). Unveiling Malicious Network Flows Using Benford’s Law. Mathematics 12(15), p. 2299. DOI:10.3390/math12152299. View Complete Reference Online information Works that this work references Works that reference this work
Fernandes, P, Ó Ciardhuáin, S and Antunes, M (2024). Uncovering Manipulated Files Using Mathematical Natural Laws. In: Vasconcelos, V., Domingues, I., Paredes, S. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2023. Lecture Notes in Computer Science, vol 14469. Springer, Cham . DOI:10.1007/978-3-031-49018-7_4. View Complete Reference Online information Works that this work references Works that reference this work
Mbona, I and Eloff, JHP (2022). Detecting Zero-day intrusion attacks using semi-supervised machine learning approaches. IEEE Access. DOI:10.1109/ACCESS.2022.3187116. View Complete Reference Online information Works that this work references Works that reference this work
Swain, M, Nishitha, CL, Maganti, M, Sethi, K and Tripathi, N (2025). Leveraging Benford’s Law for Effective Intrusion Detection in MQTT-IoT Networks. In: Proceedings of 2025 17th International Conference on COMmunication Systems & NETworkS (COMSNETS), pp. 348-355. DOI:10.1109/COMSNETS63942.2025.10885615. View Complete Reference Online information Works that this work references No Bibliography works reference this work