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The publication of network traces is critical for network research but their release is highly constrained by privacy and security concerns. The importance of a framework for anonymizing traces to provide different levels of security and utility to promote trace publication has been identified in the literature. However, the current state-of-art anonymization techniques have failed to provide the guarantees on privacy and security. In this paper, the authors propose a framework in which a trace owner can match an anonymizing transformation with the requirements of analysts. The trace owner can release multiple transformed traces, each customized to an analysts needs, or a single transformation satisfying all requirements.
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