Items where Subject is "Intrusion/anomaly detection and malware mitigation"

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Number of items at this level: 2.

Chavula, Josiah and Safla, Aslam and Makaba, Tebogo and Eybers, Sunet and Chigona, Wallace and Nitschke, Geoff (2026) AnDO: A Lightweight Feature Extraction Framework for IDS Modeling in Low-Resource Software-Defined Networks, Annual Research Conference of South Africa Institute of Computer Scientists and Information Technologists (SAICSIT 2026), 13-16 July 2026, Cape Town, South Africa, Springer Nature Computer Science book series (CCIS, LNAI, LNBI, NBIP or LNCS), Springer Series.

Didi, S. and Nitschke, G. (2025) Evolutionary Deep-Learning Malware Classifiers, Proceedings of IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2025), Trondheim, Norway, IEEE Press.

This list was generated on Thu Jun 25 12:15:25 2026 SAST.