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Novelty Discovery With Heterogeneous Features: Cross-Feature Analysis For Database Intrusion Detection Systems by Firas Alomari is a document available to read on EtoBox.

What is Novelty Discovery With Heterogeneous Features: Cross-Feature Analysis For Database Intrusion Detection Systems about?

This paper presents experiments with a unique machine learning method. It is a Novelty Discovery method that can easily accommodate heterogeneous features. The Query Anomaly Intrusion Detection System (qAIDS) applies CFA to database security.

Author

Firas Alomari

Language

EN