Relationships and data sanitization: a study in scarlet
Proceedings of the 2010 workshop on New security paradigms
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Existing models of privacy assume that the set of data to be held confidential is immutable. Unfortunately, that is often not the case. The need for privacy is balanced against the need to use the data, and the benefits that will accrue from the use of the data. We propose a model to balance privacy and utility of data. This model allows both the data provider and the data user to negotiate both requirements until a satisfactory balance is reached, or one (or both) determines such a balance cannot be reached. Thus, this model enables less than perfect privacy, or less than complete utility, as is appropriate for the particular circumstances under which the data was gathered and is being held, and the specific use to which it is to be put. We focus our work on some specific case study scenarios, and demonstrate applicability and feasibility of the model toward a variety of circumstances. In this thesis, we include several example implementations and discuss other possible uses for the model. We provide a description of the problem, the concept and motivation behind our work, the framework, and the guideline to the process and work flow of the communication framework. We also describe three case study scenarios and demonstrate abbreviated implementation of the experiments.