Prof. Pascal Felber,

Université de Neuchâtel,
Institut d’informatique


Stream processing provides an appealing paradigm for building
large-scale distributed applications. Such applications are often
deployed over multiple administrative domains, some of which may not
be trusted. Recent attacks in public clouds indicate that a major
concern in untrusted domains is the enforcement of privacy. In this
talk we will primarily focus on the problem of content-based routing
(CBR), which is at the core of many event stream processing systems.
By routing data based on subscriptions evaluated on the content of
publications, CBR systems can expose critical information to
unauthorized parties. Information leakage can be avoided by the means
of privacy-preserving filtering, which is supported by several
mechanisms for encrypted matching. Unfortunately, existing approaches
have in common a high performance overhead and the difficulty to use
classical optimization. We will present and discuss mechanisms that
greatly reduces the cost of supporting privacy-preserving filtering
based on encrypted matching operators.


Pascal Felber received his M.Sc. and Ph.D. degrees in Computer Science from the Swiss Federal Institute of Technology. From 1998 to 2002, he has worked at Oracle Corporation and Bell-Labs (Lucent Technologies) in the USA. From 2002 to 2004, he has been an Assistant Professor at Institut EURECOM in France. Since October 2004, he is a Professor of Computer Science at the University of Neuchâtel, Switzerland, working in the field of dependable and distributed systems. He has published over 100 research papers in various journals and conferences.


Paulo Jorge Pires Ferreira