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Utilizing Blockchain for IoT Privacy through Enhanced ECIES with Secure Hash Function

Author

Listed:
  • Yurika Pant Khanal

    (School of Computing, Mathematics and Engineering, Charles Sturt University, Melbourne 3062, Australia)

  • Abeer Alsadoon

    (School of Computing, Mathematics and Engineering, Charles Sturt University, Melbourne 3062, Australia)

  • Khurram Shahzad

    (School of Computing, Mathematics and Engineering, Charles Sturt University, Melbourne 3062, Australia)

  • Ahmad B. Al-Khalil

    (College of Science, Department of Computer Science, The University of Duhok, Duhok 42001, Iraq)

  • Penatiyana W. C. Prasad

    (School of Computing, Mathematics and Engineering, Charles Sturt University, Melbourne 3062, Australia)

  • Sabih Ur Rehman

    (School of Computing, Mathematics and Engineering, Charles Sturt University, Melbourne 3062, Australia)

  • Rafiqul Islam

    (School of Computing, Mathematics and Engineering, Charles Sturt University, Melbourne 3062, Australia)

Abstract

Blockchain technology has been widely advocated for security and privacy in IoT systems. However, a major impediment to its successful implementation is the lack of privacy protection regarding user access policy while accessing personal data in the IoT system. This work aims to preserve the privacy of user access policy by protecting the confidentiality and authenticity of the transmitted message while obtaining the necessary consents for data access. We consider a Modified Elliptic Curve Integrated Encryption Scheme (ECIES) to improve the security strength of the transmitted message. A secure hash function is used in conjunction with a key derivation function to modify the encryption procedure, which enhances the efficiency of the encryption and decryption by generating multiple secure keys through one master key. The proposed solution eliminates user-dependent variables by including transaction generation and verification in the calculation of computation time, resulting in increased system reliability. In comparison to previously established work, the security of the transmitted message is improved through a reduction of more than 12% in the correlation coefficient between the constructed request transaction and encrypted transaction, coupled with a decrease of up to 7% in computation time.

Suggested Citation

  • Yurika Pant Khanal & Abeer Alsadoon & Khurram Shahzad & Ahmad B. Al-Khalil & Penatiyana W. C. Prasad & Sabih Ur Rehman & Rafiqul Islam, 2022. "Utilizing Blockchain for IoT Privacy through Enhanced ECIES with Secure Hash Function," Future Internet, MDPI, vol. 14(3), pages 1-17, February.
    • Handle: RePEc:gam:jftint:v:14:y:2022:i:3:p:77-:d:760900
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    References listed on IDEAS

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    1. Johannes Sedlmeir & Hans Ulrich Buhl & Gilbert Fridgen & Robert Keller, 2020. "The Energy Consumption of Blockchain Technology: Beyond Myth," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(6), pages 599-608, December.
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    Cited by:

    1. Mohsen Rouached & Aymen Akremi & Mouna Macherki & Naoufel Kraiem, 2024. "Policy-Based Smart Contracts Management for IoT Privacy Preservation," Future Internet, MDPI, vol. 16(12), pages 1-24, December.
    2. Christoph Stach, 2022. "Special Issue on Security and Privacy in Blockchains and the IoT," Future Internet, MDPI, vol. 14(11), pages 1-4, November.

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