Differential Privacy - A Privacy Guaranteed Publishing of Search Logs

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Security
Format: PDF
Real time search engines like Google collect users' search histories with respect to their queries and clicks. The search logs are valuable to the researchers in data mining domain. However, search engines generally do not publish search logs as they are concerned about the disclosure of the sensitive information. This paper focuses on search logs and analyzes clicks, queries, and frequent keywords. The experiments revealed that k-anonymity variants are vulnerable to various attacks; stronger privacy is guaranteed with e-differential privacy which doesn't have utility for search logs.
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