In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Ouliter deTector (SPOT), t...
In this paper, we outline a privacy-preserving matching protocol for OSN (online social network) users to find their potential friends. With the proposed protocol, a logged-in use...
We study the problem of anonymizing user profiles so that user privacy is sufficiently protected while the anonymized profiles are still effective in enabling personalized web sea...
Efforts to design faster synchronous mix networks have focused on reducing the computational cost of mixing per server. We propose a different approach: our re-encryption mixnet...
Data sharing is an essential process for collaborative works particularly in the banking, finance and healthcare industries. These industries require many collaborative works with...