272 citations · 774 across the 19 of their papers we have counts for
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cs.CR2021★ 144 cited
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems
Giovanni Apruzzese, Mauro Andreolini, Luca Ferretti +2
The incremental diffusion of machine learning algorithms in supporting cybersecurity is creating novel defensive opportunities but also new types of risks. Multiple researches have…
cs.CR2021★ 24 cited
On the Evaluation of Sequential Machine Learning for Network Intrusion Detection
Andrea Corsini, Shanchieh Jay Yang, Giovanni Apruzzese
Recent advances in deep learning renewed the research interests in machine learning for Network Intrusion Detection Systems (NIDS). Specifically, attention has been given to sequen…