4 research outputs found

    Minimizing disclosure of private information in credential-based interactions : a graph-based approach

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    We address the problem of enabling clients to regulate disclosure of their credentials and properties when interacting with servers in open scenarios. We provide a means for clients to specify the sensitivity of information in their portfolio at a fine-grain level and to determine the credentials and properties to disclose to satisfy a server request while minimizing the sensitivity of the information disclosed. Exploiting a graph modeling of the problem, we develop a heuristic approach for determining a disclosure minimizing released information, that offers execution times compatible with the requirements of interactive access to Web resources

    Supporting user privacy preferences on information release in open scenarios

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    Access control solutions for open systems are typically based on the assumption that a client may adopt approached speci\ufb01cally designed for the server to protect the disclosure of her sensitive information. These solutions however do not consider the speci\ufb01c privacy requirements characterizing the client. In this paper, we put forward the idea of adopting a di\ufb00erent model at the client-side, aimed at minimizing the amount of sensitive information released to a server. The model should be based on a formal modeling of the client portfolio and should easily support the de\ufb01nition of privacy preferences and disclosure limitations for empowering the user in the release of her personal information
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