Method and system for adaptive anomaly-based intrusion detection

Patent No. 8,800,036

Issued: August 5, 2014
Filed: January 22, 2010
Term Extension: 689 days

Inventors: Khayam; Syed Ali (Islamabad, PK), Ali; Muhammad Qasim (Islamabad, PK)
Assignee: The School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST) (Islamabad, Pakistan)

The input characteristics of a real-time IDS change continuously with time therefore setting a rigid (time and behavior invariant) classification threshold limits the accuracy that the IDS can potentially achieve. A generic threshold tuning method and system is proposed which can adaptively tune the detection threshold of a real-time IDS in accordance with varying host and network behavior. The method and system perform statistical and information-theoretic analysis of network and host-based IDSs' anomaly based intrusions to reveal a consistent time correlation structure between benign activity periods which is used to predict future anomaly scores and to adapt an IDS' detection threshold accordingly.

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