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Hybrid Blockchain-Enabled Security in Cloud Storage Infrastructure Using ECC and AES Algorithms

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Blockchain based Internet of Things

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 112))

Abstract

Due to the high growth of Internet of Things and cloud computing services it has brought great changes within the human lifestyle in various fields such as (medical, agricultural, educational, military, environmental, etc.). So, it was necessary to understand the building blocks’ basic of the Internet of Things and identify weaknesses and data security of user. Blockchain plays an important role in the implementation of security aspects in cloud computing. In this work, we have analyzed the security aspects of data stored in the cloud through hybrid security system enabled with blockchain technology using cryptographic algorithms ECC and AES. Our framework is having higher security with more efficiency than others.

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Author information

Authors and Affiliations

  1. Department Computer Science and Engineering, C. V. Raman Global University, Bhubaneswar, 752054, India

    Mhamad Bakro, Sukant K. Bisoy & Ashok K. Patel

  2. Department Computer Science and Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, 751024, India

    M. Adib Naal

Authors
  1. Mhamad Bakro
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  2. Sukant K. Bisoy
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  3. Ashok K. Patel
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  4. M. Adib Naal
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, West Bengal, India

    Debashis De

  2. Rajnagar Mahavidyalaya, Birbhum, India

    Siddhartha Bhattacharyya

  3. College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China

    Joel J. P. C. Rodrigues

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Bakro, M., Bisoy, S.K., Patel, A.K., Naal, M.A. (2022). Hybrid Blockchain-Enabled Security in Cloud Storage Infrastructure Using ECC and AES Algorithms. In: De, D., Bhattacharyya, S., Rodrigues, J.J.P.C. (eds) Blockchain based Internet of Things. Lecture Notes on Data Engineering and Communications Technologies, vol 112. Springer, Singapore. https://doi.org/10.1007/978-981-16-9260-4_6

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