C-CBPM: collective context based privacy model

Existing research on developing privacy models, although seem persuasive, are essentially based on user, role or service identification. Such models are incapable of automatically adjusting privacy needs of consumers or organizations to the context in which the data is accessed. In this work we present a context based privacy model (CBPM) that leverages the context in which the information content is accessed. We introduce the concepts of donation and adoption for privacy configuration by extending CBPM to collective-CBPM (C-CBPM), bearing the analysis upon the notions of collective intelligence and trust computation. The efficacy of the proposed C-CBPM model is demonstrated by implementing it in various application domains such as, humanitarian assistance and disaster relief operations. CBPM is also implemented as a framework that assists in the comparison and extension of existing role or service based privacy and access control models.

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