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cs.CR2025
KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs
Xin Fan Guo, Xinran Zheng, Albert Merono Penuela +3
Anomaly-based ML-NIDS (A-NIDS) model normal network behavior from benign data and classify deviations from this baseline as anomalies, theoretically enabling the detection of evolv…
cs.CR2025
Investigation of Advanced Persistent Threats Network-based Tactics, Techniques and Procedures
Almuthanna Alageel, Sergio Maffeis, Imperial College London
The scarcity of data and the high complexity of Advanced Persistent Threats (APTs) attacks have created challenges in comprehending their behavior and hindered the exploration of e…