2 papers
cs.CR2026
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
Unveiling ECC Vulnerabilities: LSTM Networks for Operation Recognition in Side-Channel Attacks
Alberto Battistello, Guido Bertoni, Michele Corrias +5
We propose a novel approach for performing side-channel attacks on elliptic curve cryptography. Unlike previous approaches and inspired by the ``activity detection'' literature, we…