We present PRISM, a privacy-preserving scheme for word search in cloud computing. In the face of a curious cloud provider, the main challenge is to design a scheme that achieves pr...
Erik-Oliver Blass, Roberto Di Pietro, Refik Molva,...
Privacy is becoming an increasingly important issue in many data mining applications, particularly in the security and defense area. This has triggered the development of many pri...
Human Desoxyribo-Nucleic Acid (DNA) sequences offer a wealth of information that reveal, among others, predisposition to various diseases and paternity relations. The breadth and...
Combining and analyzing data collected at multiple locations is critical for a wide variety of applications, such as detecting and diagnosing malicious attacks or computing an acc...
Benny Applebaum, Haakon Ringberg, Michael J. Freed...
Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...