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We introduce a novel mechanism to attain differential privacy. Contrary to the common mechanism based on the addition of a noise whose magnitude is proportional to the sensitivity of the query function, our proposal is based on the refinement of the user's prior knowledge about the response. We show that our mechanism has several advantages over noise addition: it does not require complex computations,...
k-Anonymity is a privacy property used to limit the risk of re-identification in a microdata set. A data set satisfying k-anonymity consists of groups of k records which are indistinguishable as far as their quasi-identifier attributes are concerned. Hence, the probability of re-identifying a record within a group is 1/k. We introduce the probabilistic k-anonymity property, which relaxes the indistinguishability...
Existing authentication protocols to secure vehicular ad hoc networks (VANETs) raise challenges such as certificate distribution and revocation, avoidance of computation and communication bottlenecks, and reduction of the strong reliance on tamper-proof devices. This paper efficiently copes with these challenges with a decentralized group-authentication protocol in the sense that the group is maintained...
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