Hierarchical Clustering for Network Traffic Analysis,
Designing for Reliability and Maintainability in Service-Oriented
Architectures, and
Topological Expression of Fingerprint Minutiae for Template Protection
Date and time: 11.30am - 13.00pm, Friday 6 November, 2009
Venue: 10.08.03 (Building 10, Level 8, Room 3)
Abstracts:
Hierarchical
Clustering for Network Traffic Analysis (Dr. Abdun Mahmood)
An important problem in Network Management is how to
understand the pattern of usage of a network by its users. One problem faced
when analyzing network traffic data traces is how to use the mix of different
types of attributes present in the data in order to better understand the
underlying traffic patterns. In general, data mining techniques can be made
more efficient by exploiting the underlying structure of the data. In this
talk, we briefly explore how to use hierarchical clustering techniques for efficient
representation, analysis, and reporting of network traffic data.
Designing for
Reliability and Maintainability in Service-Oriented Architectures (Dr. Mikhail
Perepletchikov)
Dr Mikhail Perepletchikov will provide a brief overview
of the ARC Discovery Grant "Designing for Reliability and Maintainability
in Service-Oriented Architectures".
Additionally, Mikhail will present a suite of empirically-evaluated software
metrics designed to predict the maintainability of Service-Oriented software in
the early stages of the SDLC. Such metrics can be incorporated into a
service-oriented software design methodology in order to allow quantitative
comparison and selection of alternative design structures, as well as detection
of potential quality problems.
Topological
Expression of Fingerprint Minutiae for Template Protection (Dr Fengling Han)
Fingerprint biometrics has long been used in identity
identification. Minutiae representation of fingerprints is utilized by forensic
experts, and has been adopted by most of the commercially available automatic
fingerprint matching systems. Fingerprint minutiae are unique but unreliable,
and prints of the same finger are rarely identical, which are called intra-user
variation. The contribution of this research is describing the information of
minutiae > with an equivalent vector to account for intra-user variations.
The relative relation of minutiae is used as a feature, which is rotation
invariant and translation invariant. The orientation information can help to overcome
the elastic distortion. To improve the uniqueness of the vector feature, a dual
layer structure check is deployed. In this way, the biometric template
protection and cancellable biometrics can be achieved.
Seminar Organisation
Seminars are free and open to the general public. No booking is necessary. If you are interested in giving a presentation in this seminar series, or to make suggestions for speakers, please contact Xiaodong Li, the seminar co-ordinator.