Using Social Networks to Distort Users' Profiles Generated by Web Search Engines
The Internet is one of the most important sources of knowledge in the present time. It offers a huge volume of information which grows dramatically every day. Web search engines (e.g., Google, Yahoo.. .) are widely used to find specific data among that information. However, these useful tools also represent a privacy threat for the users: the web search engines profile them by storing and analyzing all the searches that they have previously submitted. To address this privacy threat, current solutions propose new mechanisms that introduce a high cost in terms of computation and communication. In this paper, the authors propose a new scheme designed to protect the privacy of the users from a web search engine that tries to profile them.