An Efficient Accountable Privacy-Preserving Scheme for Public Information Sharing in Fog Computing

Youcef Imine, Ahmed Lounis, Abdelmadjid Bouabdallah · 2019

Fog computing is a new paradigm which extends cloud-computing services into the edge of the network. However, this new architecture creates new challenges in relation with data security and privacy. In fact, due to the emergence of data externalization technologies, as Fog computing, privacy has become a major concern for all users. There have been several proposals in the literature that treated privacy issues using existing anonymization techniques, but few of them considered accountability service. Whereas, when security systems do not adopt accountability mechanisms, full anonymity may encourage users to act maliciously. In this paper, we propose a novel accountable privacy preserving solution for public information sharing in fog computing architecture. Based on signatures, our scheme allows fog servers to authenticate any user in the system without violating its privacy. In case of users' misbehavior, our architecture considers an authority that is able to trace any user in the system. Our solution ensures privacy preserving and accountability services in a completely distributed manner, without resorting permanently to the authority. Finally, we show through experimentation that our solution outperforms existing solutions.

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