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Big Data and Privacy: Challenges and Opportunities

Abstract

With increasing volume of data, including sensitive and personal information stored on distributed online services such as clouds, data breaches and privacy leakage are urgent and challenging issues. For practical deployment and from different points of view such as application and spatial, different and case-specific solutions are required. A considerable number of security and privacy approaches in the area of big data have been designed based on their application circumstances. Hence, it is essential to design and implement systematic privacy characterization and computational models and analyze different aspects, including protection level, profit or loss, complexity, etc. The purpose of this handbook is to explore challenges and solutions relating to big data privacy.

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Azmoodeh, A., Dehghantanha, A. (2020). Big Data and Privacy: Challenges and Opportunities. In: Choo, KK., Dehghantanha, A. (eds) Handbook of Big Data Privacy. Springer, Cham. https://doi.org/10.1007/978-3-030-38557-6_1

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  • DOI: https://doi.org/10.1007/978-3-030-38557-6_1

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