iSports : Mobile app for Sports Events using bootstrap responsive design



                                               This paper presents and model a novel general framework for aware collaborative information sharing for sports events update. Collaborative information sharing systems can be cross-domain, involve different data providers which might also be competitors. For this reason, shared information may imply privacy concerns, which must be addressed, applying privacy preserving mechanisms on information before sharing them. However, since the application of these privacy preserving mechanisms may negatively affect the accuracy of data analysis, a trade-off must be considered, and the privacy preserving mechanism to be applied must be chosen correctly.

                               The proposed framework based on the data providers sport information is shared towards the public user with secured privacy. The proposed framework defines and models a workflow which applies to any privacy aware collaborative information sharing system, defines indexes to measure the compatibility between privacy requirements, and includes a novel method to compute the trade-off between privacy and accuracy. This work also proposes a methodology to choose, case-by-case, the privacy mechanism which maximizes the trade-off between privacy and accuracy





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