activity
20152026
most citedEnd-To-End Anomaly Detection for Identifying Malicious Cyber Behavior through NLP-Based Log Embeddings

6 citations · 8 across the 6 of their papers we have counts for

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2 papers · 1 filter

cs.CR2021

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

John Emanuello, Kimberly Ferguson-Walter, Erik Hemberg +5

Malicious cyber activity is ubiquitous and its harmful effects have dramatic and often irreversible impacts on society. Given the shortage of cybersecurity professionals, the ever-…

cs.CR2021★ 1 cited

Robustness of ML-Enhanced IDS to Stealthy Adversaries

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…