Basser Seminar Series
Towards Effective and Efficient Behavior-based Trust Models
Speaker: Professor Kelmens Böhm
University of Karlsruhe, Germany
Time: Friday 12 December 2008, 11:00am-12:00 noon
Location: The University of Sydney, School of IT Building, Boardroom (Room 124), Level 1
**NOTE: Different day, time and location.
Trust models have been touted to facilitate cooperation among unknown entities. In our current work, we are interested in behaviour-based trust models, i.e., models that derive the trustworthiness of an entity from its behavior in previous interactions. Existing proposals in this field typically feature one specific trust model. Further, various publications exist which have proposed different centrality measures to rank individuals, i.e., compute their reputation based on feedback. While these various publications have demonstrated the effectiveness of 'their' measure in certain specific situations, no measure is a clear winner, as we will explain. All this calls for a higher degree of flexibility.
Consequently,this presentation proposes a trust-policy algebra allowing for the specification of a wide range of behaviour-based trust policies. Since the evaluation of the standing of an entity requires centrality indices, we propose a first-class operator of our algebra for their computation. The presentation will then say how we intend to tackle the various related economic problems that are in the air and will point to open research questions.
Klemens Böhm is a professor for databases and information systems at Universität Karlsruhe (TH). He has received his Diploma in Informatik and his Ph.D. degree (Informatik) from Technical University of Darmstadt.
Before joining Karlsruhe University in 2004, he has been a professor at Magdeburg University. Prior to that, he has been associated with ETH Zurich and GMD Darmstadt. His research interests are distributed information systems, e.g., Peer-to-Peer systems or Grid infrastructures. Klemens puts much effort in interdisciplinary research and application-oriented projects, currently ranging from biosystematics to traffic-data management.