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Authentication Scheme Using Sparse Matrix in Cloud Computing

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Intelligent Systems Design and Applications (ISDA 2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 940))

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Abstract

Cloud computing is boon in technology field which provide on-demand services in IT domain. Security and authentication threats are challenges associated with storage and access of data in cloud environment. Authentication in cloud computing is a major concern with the increase in cloud user base. The authentication schemes in cloud computing are based on hash function, biometric, logic functions to keep the data in secure and safe manner. This paper compares the different methods of authentication schemes in terms of complexity and the strength to prevent attacks and proposes a new improved method using sparse matrix approach performing better than simple matrix approach. Our method improves the usability of full matrix approach converting it to sparse matrix to authenticate client for use of cloud service.

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Authors and Affiliations

  1. C.R.L, B.E.L, Ghaziabad, India

    Sunita Meena, Shivani Kapur, Vipin C. Dhobal & Subhrat Kr. Sethi

Authors
  1. Sunita Meena
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  2. Shivani Kapur
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  3. Vipin C. Dhobal
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  4. Subhrat Kr. Sethi
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Corresponding author

Correspondence to Sunita Meena .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Aswani Kumar Cherukuri

  3. Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin

  4. Machine Intelligence Research Labs, Auburn, WA, USA

    Niketa Gandhi

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Meena, S., Kapur, S., Dhobal, V.C., Sethi, S.K. (2020). Authentication Scheme Using Sparse Matrix in Cloud Computing. In: Abraham, A., Cherukuri, A.K., Melin, P., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2018 2018. Advances in Intelligent Systems and Computing, vol 940. Springer, Cham. https://doi.org/10.1007/978-3-030-16657-1_5

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