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Advances in Machine Learning and Data Science pp 225–238Cite as

DCaP—Data Confidentiality and Privacy in Cloud Computing: Strategies and Challenges

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 705))

Abstract

Cloud computing is one of the revolutionary technology for individual users due to its availability of on-demand services through the sharing of resources. This technology avoids the in-house infrastructure construction, cost of infrastructure and its maintenance. Hence individual users and organizations are moving towards cloud to outsource their data and applications. But many individuals are worried about the privacy and confidentiality of their data before sharing into cloud. The Cloud service provider has to ensure data security against unauthorized access in and out of the cloud computing infrastructure. Hence this paper identifies and describes the possible threats on Data confidentiality and privacy. The author also presents the anatomy and summary of general observations made on the available mechanisms to counter these threats.

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Author information

Authors and Affiliations

  1. AJ Institute of Engineering & Technology Mangaluru, Visvesvaraya Technological University Belagavi, Belgaum, Karnataka, India

    Basappa B. Kodada

  2. Canara Engineering College Mangaluru, Visvesvaraya Technological University Belagavi, Belgaum, Karnataka, India

    Demian Antony D’Mello

Authors
  1. Basappa B. Kodada
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  2. Demian Antony D’Mello
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Corresponding author

Correspondence to Basappa B. Kodada .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Goa, Goa, India

    Damodar Reddy Edla

  2. Department of Mathematics and Computing Science, Saint Mary’s University, Halifax, NS, Canada

    Pawan Lingras

  3. Department of Computer Science and Engineering, National Institute of Technology Goa, Goa, India

    Venkatanareshbabu K.

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Kodada, B.B., D’Mello, D.A. (2018). DCaP—Data Confidentiality and Privacy in Cloud Computing: Strategies and Challenges. In: Reddy Edla, D., Lingras, P., Venkatanareshbabu K. (eds) Advances in Machine Learning and Data Science. Advances in Intelligent Systems and Computing, vol 705. Springer, Singapore. https://doi.org/10.1007/978-981-10-8569-7_24

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  • DOI: https://doi.org/10.1007/978-981-10-8569-7_24

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8568-0

  • Online ISBN: 978-981-10-8569-7

  • eBook Packages: EngineeringEngineering (R0)

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