Proceedings - AI/ML for Cybersecurity: Challenges, Solutions, and Novel Ideas at SIAM Data Mining 2021

no code implementations • 27 Apr 2021 • John Emanuello, Kimberly Ferguson-Walter, Erik Hemberg, Una-May O Reilly, Ahmad Ridley, Dennis Ross, Diane Staheli, William Streilein

Malicious cyber activity is ubiquitous and its harmful effects have dramatic and often irreversible impacts on society.

Robustness of ML-Enhanced IDS to Stealthy Adversaries

no code implementations • 21 Apr 2021 • Vance Wong, John Emanuello

Intrusion Detection Systems (IDS) enhanced with Machine Learning (ML) have demonstrated the capacity to efficiently build a prototype of "normal" cyber behaviors in order to detect cyber threats' activity with greater accuracy than traditional rule-based IDS.

Anomaly Detection Intrusion Detection