Towards users driven privacy control

For widely available and acceptable dynamic Web and mobile applications, users privacy concerns should be well considered and effectively maintained. Users should be able to control their private information collection by most Web applications and third parties. A functional architecture is proposed that allows users to automatically control coming requests for their private information either based on fuzzy reasoning or by predefined users privacy preferences. In addition, users are given manual control capabilities in cases of uncertain automatic behavior. The proposed approach has been implemented in the MIES platform in the university campus. Results obtained are promising.