People-centric urban sensing is a new paradigm gaining popularity. A main obstacle to its widespread deployment and adoption are the privacy concerns of participating individuals. ...
Data distortion is a critical component to preserve privacy in security-related data mining applications, such as in data miningbased terrorist analysis systems. We propose a spars...
Multivariate statistical analysis is an important data analysis technique that has found applications in various areas. In this paper, we study some multivariate statistical analy...
—In this work we study the problem of query privacy in large scale sensor networks. Motivated by a novel trust model in which clients query networks owned by trusted entities but...
We present techniques for privacy-preserving computation of multidimensional aggregates on data partitioned across multiple clients. Data from different clients is perturbed (rand...
Rakesh Agrawal, Ramakrishnan Srikant, Dilys Thomas