PhD Qualifying Examination


"A Survey of Intrusion Detection Systems and Approaches to Performance
Improvement"

By Mr. Kin-Fai Ip


Abstract:

Information security is drawing unprecedented attention in both academic
and commercial sectors.  There have been multi-disciplinary research
successes in many aspects of information security.  However, in the area
of network security, advances in effective detection and prevention of
attacks are still unsatisfactory.  After Gartner's report on Information
Security Hype Cycle 2003 stating that the intrusion detection system hype
is alreadyobsolete, the industry has demanded a more effective, efficient
and accurate methodology for intrusion detection and response.

This survey starts with a review of the current approaches of intrusion
detection systems. It then continues with a proposed approach to address
the challenges of intrusion detection systems, including false positive
rate, false negative rate, efficiency and the ability to detect novel
attacks.

Approaches to improve the overall performance of intrusion detection
systems are discussed, including machine learning techniques as well as
correlation techniques for aggregating the outputs from multiple sensors.


Date:     		Wednesday, 28 January 2004

Time:                   2:00p.m.-4:00p.m.

Venue:                  Room 2302
			lifts 17-18

Committee Members:      Prof. Dit-Yan Yeung (Supervisor)
                        Prof. Cunsheng Ding (Chairperson)
			Prof. Shing-Chi Cheung
			Prof. Helen Shen


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