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Social Networking and Computational Intelligence pp 105–117Cite as

Data De-duplication Scheme for File Checksum in Cloud

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 100))

Abstract

Data de-duplication is a significant source of security technique in the cloud environment. It accomplishes identical reproductions of the redundant records to save cloud storage. The de-duplication has been used to preserve bandwidth and confidentiality of the user. As de-duplication has many advantages, safety and protection of data is the primary concern as the data of the clients are susceptible to various types of attacks.

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Author information

Authors and Affiliations

  1. P.D.A College of Engineering, Kalaburagi, Karnataka, 585102, India

    Jayashree Agarkhed, Apurva Deshpande & Ankita Saraf

Authors
  1. Jayashree Agarkhed
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  2. Apurva Deshpande
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  3. Ankita Saraf
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Corresponding author

Correspondence to Jayashree Agarkhed .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Sagar Institute of Research and Technology, Bhopal, Madhya Pradesh, India

    Rajesh Kumar Shukla

  2. Department of Computer Science and Engineering, University Teaching Department, Rajiv Gandhi Technical University (State Technological University), Bhopal, Madhya Pradesh, India

    Jitendra Agrawal

  3. School of Information Technology, Rajiv Gandhi Technical University (State Technological University), Bhopal, Madhya Pradesh, India

    Sanjeev Sharma

  4. Department of Computer Science and Engineering, Indian Institute of Technology Indore, Indore, Madhya Pradesh, India

    Narendra S. Chaudhari

  5. Department of Computer Science and Engineering, Indian Institute of Technology BHU, Varanasi, Uttar Pradesh, India

    K. K. Shukla

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Cite this paper

Agarkhed, J., Deshpande, A., Saraf, A. (2020). Data De-duplication Scheme for File Checksum in Cloud. In: Shukla, R., Agrawal, J., Sharma, S., Chaudhari, N., Shukla, K. (eds) Social Networking and Computational Intelligence. Lecture Notes in Networks and Systems, vol 100. Springer, Singapore. https://doi.org/10.1007/978-981-15-2071-6_9

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