Semantic Microaggregation for the Anonymization of Query Logs
نویسندگان
چکیده
منابع مشابه
Utility preserving query log anonymization via semantic microaggregation
Query logs are of great interest for scientists and companies for research, statistical and commercial purposes. However, the availability of query logs for secondary uses raises privacy issues since they allow the identification and/or revelation of sensitive information about individual users. Hence, query anonymization is crucial to avoid identity disclosure. To enable the publication of pri...
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Web search engines gather information from the queries performed by the user in the form of query logs. These logs are extremely useful for research, marketing, or profiling, but at the same time they are a great threat to the user’s privacy. We provide a novel approach to anonymize query logs so they ensure user k-anonymity, by extending a common method used in statistical disclosure control: ...
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Query log anonymization has become an important challenge nowadays. A query log contains the search history of the users, as well as the selected results and their position in the ranking. These data are used to provide a personalized re-ranking of results and trend studies. However, query logs can disclose sensitive information of the users. Hence, query logs must be submitted to an anonymizat...
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