Privacy Preventing Attacks on Social Networks

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Provided by: Creative Commons
Topic: Security
Format: PDF
Privacy is one of the key concerns when sharing social or publishing network information for social science study and trade investigation. Social networks via online, such as Facebook, are progressively more utilized by many individuals. These networks allow users to publish details about themselves and to connect to their friends. Some of the information revealed inside these networks is meant to be private. Yet it is possible to use learning algorithms on released data to predict private information. In this paper, the authors make a profile matching application which helps client to discover the individuals whose profile best matches with others individuals.
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