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Intelligent Engineering Informatics pp 1–9Cite as

Assessment of Integrity Auditing Protocols for Outsourced Big Data

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 695))

Abstract

Due to overwhelming advancement in sensor networks and communication technology, Internet of Things is taking shape to help make our lives smarter. Devices working on Internet of Things are responsible for generating multifarious and mammoth data. In addition to this, academia, business firms, etc., add vast amount of data to the pool of storage systems. This data are big data. Cloud computing provides paramount solution to store and process this big data through database outsourcing, thus reducing capital expenditure and operational costs. As big data are hosted by third party service providers in the cloud, security of such data becomes one of the significant concerns of data owners. The untrustworthy nature of service providers does not guarantee the security of data and computation results. This necessitates the owners to audit the integrity of data. Therefore, integrity auditing becomes the part and parcel of outsourced big data. Maintaining confidentiality, privacy, and trust for such big data are sine qua non for seamless and secure execution of big data-related applications. This paper gives a thorough analysis of integrity auditing protocols applied for big data residing in cloud environment.

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Authors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology University, (KIIT), Bhubaneswar, Odisha , India

    Ajeet Ram Pathak, Manjusha Pandey & Siddharth Rautaray

Authors
  1. Ajeet Ram Pathak
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  2. Manjusha Pandey
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  3. Siddharth Rautaray
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Corresponding author

Correspondence to Ajeet Ram Pathak .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, SRMGPC, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  2. Departamento de Computación, CINVESTAV-IPN, Mexico City, Mexico

    Carlos A. Coello Coello

  3. Department of Computer Science and Engineering, PVP Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India

    Suresh Chandra Satapathy

  4. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Prasant Kumar Pattnaik

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Pathak, A.R., Pandey, M., Rautaray, S. (2018). Assessment of Integrity Auditing Protocols for Outsourced Big Data. In: Bhateja, V., Coello Coello, C., Satapathy, S., Pattnaik, P. (eds) Intelligent Engineering Informatics. Advances in Intelligent Systems and Computing, vol 695. Springer, Singapore. https://doi.org/10.1007/978-981-10-7566-7_1

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  • DOI: https://doi.org/10.1007/978-981-10-7566-7_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7565-0

  • Online ISBN: 978-981-10-7566-7

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