Utility preserving query log anonymization via semantic microaggregation

Utility-Preserving Differentially Private Data Releases Via Individual Ranking Microaggregation

Being able to release and exploit open data gathered in information systems is crucial for researchers, enterprises and the overall society. Yet, these data must be anonymized before release to protect the privacy of the subjects to whom the records relate. Differential privacy is a privacy model for anonymization that offers more robust privacy guarantees than previous models, such as k-anonym...

Semantic microaggregation for the anonymization of query logs using the open directory project

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: ...

Semantic Microaggregation for the Anonymization of Query Logs

Privacy Preserving Web Query Log Publishing: A Survey on Anonymization Techniques

Releasing Web query logs which contain valuable information for research or marketing, can breach the privacy of search engine users. Therefore rendering query logs to limit linking a query to an individual while preserving the data usefulness for analysis, is an important research problem. This survey provides an overview and discussion on the recent studies on this direction.

Analysis of User query refinement behavior based on semantic features: user log analysis of Ganj database (IranDoc)

Background and Aim: Information systems cannot be well designed or developed without a clear understanding of needs of users, manner of their information seeking and evaluating. This research has been designed to analyze the Ganj (Iranian research institute of science and technology database) users’ query refinement behaviors via log analysis.    Methods: The method of this research is log anal...