Distributed Denial of Privacy

For many years, privacy has not been considered as a critical issue in the field of software development. Recent events have led to discussions how the privacy of the user can be protected in information systems. While most approaches do only focus on increasing the security of the systems to protect private information against uncontrolled access, the aspect of enhancing privacy itself has been ignored. Our framework, called PArADISE (Privacy AwaRe Assistive Distributed Information System Environment), maximizes privacy by minimizing the amount of data stored and queried by information systems. In this paper, we present a new method to protect the anonymity of the user, even if multiple queries are combined.

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