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Big Data and Privacy: Challenges and Opportunities

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Handbook of Big Data Privacy

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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Authors and Affiliations

  1. Cyber Science Lab, University of Guelph, Guelph, ON, Canada

    Amin Azmoodeh & Ali Dehghantanha

Authors
  1. Amin Azmoodeh
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  2. Ali Dehghantanha
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Correspondence to Amin Azmoodeh .

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Editors and Affiliations

  1. University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  2. Cyber Science Lab, School of Computer Science, University of Guelph, Guelph, ON, Canada

    Ali Dehghantanha

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-38556-9

  • Online ISBN: 978-3-030-38557-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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