Application of privacy preserving protocols
Date and time: 11.30am - 12.30pm, Friday 4 December, 2009
Venue: 10.08.03 (Building 10, Level 8, Room 3)
Abstract:
(1)
In a scenario various
Internet Service Providers need to cooperatively prevent a distributed
denial-of-service attack by aggregating their network traffic data, but they
are reluctant to share the traffic data since the data are private. The talk
will show how the protocols proposed by the speaker can be applied to this
problem.
(2)
Risk analysis of one
popular privacy-preserving method in data mining: This method is based on
random projection. It is widely used in privacy-preserving data mining because
it can perturb the original private data, but well keep the clustering
structures inside the data. The talk
will explain how an attacker can make some effective attacks on this method.
The speaker's work includes some effective recovery of the private values from
the perturbed data, based on some easily-obtained prior knowledge.
About the speaker:
Yingpeng Sang is a Postdoctoral Research Fellow in School
of Computer Science at the University of Adelaide. He received his PhD degree
in 2007 from School of Information Science, Japan Advanced Institute of Science
and Technology. His research interests are privacy-preserving problems in
distributed networks.He has done research work on some specific problems, such
as privacy-preserving set operations, tuple matching, and data mining. He has
over 10 publications in international conferences and journals.
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.