Computer Science – Information Theory
Scientific paper
2011-11-17
Computer Science
Information Theory
This paper has 15 pages and 1 figure
Scientific paper
In previous work, we presented a novel information-theoretic privacy criterion for query forgery in the domain of information retrieval. Our criterion measured privacy risk as a divergence between the user's and the population's query distribution, and contemplated the entropy of the user's distribution as a particular case. In this work, we make a twofold contribution. First, we thoroughly interpret and justify the privacy metric proposed in our previous work, elaborating on the intimate connection between the celebrated method of entropy maximization and the use of entropies and divergences as measures of privacy. Secondly, we attempt to bridge the gap between the privacy and the information-theoretic communities by substantially adapting some technicalities of our original work to reach a wider audience, not intimately familiar with information theory and the method of types.
Forné Jordi
Parra-Arnau Javier
Rebollo-Monedero David
No associations
LandOfFree
An Information-Theoretic Privacy Criterion for Query Forgery in Information Retrieval does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with An Information-Theoretic Privacy Criterion for Query Forgery in Information Retrieval, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An Information-Theoretic Privacy Criterion for Query Forgery in Information Retrieval will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-349628