Classification of IDS Alerts with Data Mining Techniques
arXiv:1401.4872v19 citations
Originality Synthesis-oriented
AI Analysis
This addresses the issue of alert fatigue for IDS operators, but it is incremental as it builds on existing data mining methods.
The paper tackled the problem of reducing false alerts in Intrusion Detection Systems (IDS) by proposing a data mining technique, achieving 99% accuracy compared to 97% in current systems.
A data mining technique to reduce the amount of false alerts within an IDS system is proposed. The new technique achieves an accuracy of 99% compared to 97% by the current systems.