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

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.AI2021★ 6 cited

End-To-End Anomaly Detection for Identifying Malicious Cyber Behavior through NLP-Based Log Embeddings

Andrew Golczynski, John A. Emanuello

Rule-based IDS (intrusion detection systems) are being replaced by more robust neural IDS, which demonstrate great potential in the field of Cybersecurity. However, these ML approa…