Guillermo Navarro-Arribas

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We present in this paper a decentralized architecture to correlate alerts between cooperative nodes in a secure multicast infrastructure. The purpose of this architecture is to detect and prevent the use of network resources to perform coordinated attacks against third party networks. By means of a cooperative scheme based on message passing, the different(More)
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(More)
The anonymization of query logs is an important process that needs to be performed prior to the publication of such sensitive data. This ensures the anonymity of the users in the logs, a problem that has been already found in released logs from well known companies. This paper presents the anonymization of query logs using microaggregation. Our proposal(More)
Healthcare is information driven and knowledge driven. Good healthcare depends on making decisions at the right time and place, using the right patient data and applicable knowledge. Communication is of utmost relevance in today's healthcare settings, in that delivery of care, research, and management all depend on sharing information. The proposed system(More)
When considering the publishing of web search query logs, there is an important trade-off between the privacy and the usefulness of the data. This paper introduces a novel approach to anonymize search query logs by means of microaggregation. It guaranties k-anonymity on the data without having to completely eliminate any record.
In data privacy, record linkage can be used as an estimator of the disclosure risk of protected data. To model the worst case scenario one normally attempts to link records from the original data to the protected data. In this paper we introduce a parametrization of record linkage in terms of a weighted mean and its weights, and provide a supervised(More)