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A Lightweight Authentication and Authorization Framework for Blockchain-Enabled IoT Network in Health-Informatics

Author

Listed:
  • Muhammad Tahir

    (Department of Computer Science, COMSATS University Islamabad, Attock Campus, Punjab 43600, Pakistan)

  • Muhammad Sardaraz

    (Department of Computer Science, COMSATS University Islamabad, Attock Campus, Punjab 43600, Pakistan)

  • Shakoor Muhammad

    (Department of Mathematics, Abdulwali Khan University, Mardan, Khyber Pakhtunkhwa 23200, Pakistan)

  • Muhammad Saud Khan

    (Department of Computer Science, COMSATS University Islamabad, Attock Campus, Punjab 43600, Pakistan)

Abstract

Blockchain and IoT are being deployed at a large scale in various fields including healthcare for applications such as secure storage, transactions, and process automation. IoT devices are resource-constrained, have no capability of security and self-protection, and can easily be hacked or compromised. Furthermore, Blockchain is an emerging technology with immutability features which provide secure management, authentication, and guaranteed access control to IoT devices. IoT is a cloud-based internet service in which processing and collection of user’s data are accomplished remotely. Smart healthcare also requires the facility to provide the diagnosis of patients located remotely. The smart health framework faces critical issues such as data security, costs, memory, scalability, trust, and transparency between different platforms. Therefore, it is important to handle data integrity and privacy as the user’s authenticity is in question due to an open internet environment. Several techniques are available that primarily focus on resolving security issues i.e., forgery, timing, denial of service and stolen smartcard attacks, etc. Blockchain technology follows the rules of absolute privacy to identify the users associated with transactions. The motivation behind the use of Blockchain in health informatics is the removal of the centralized third party, immutability, improved data sharing, enhanced security, and reduced overhead costs in distributed applications. Healthcare informatics has some specific requirements associated with the security and privacy along with the additional legal requirements. This paper presents a novel authentication and authorization framework for Blockchain-enabled IoT networks using a probabilistic model. The proposed framework makes use of random numbers in the authentication process which is further connected through joint conditional probability. Hence, it establishes a secure connection among IoT devices for further data acquisition. The proposed model is validated and evaluated through extensive simulations using the AVISPA tool and the Cooja simulator, respectively. Experimental results analyses show that the proposed framework provides robust mutual authenticity, enhanced access control, and lowers both the communication and computational overhead cost as compared to others.

Suggested Citation

  • Muhammad Tahir & Muhammad Sardaraz & Shakoor Muhammad & Muhammad Saud Khan, 2020. "A Lightweight Authentication and Authorization Framework for Blockchain-Enabled IoT Network in Health-Informatics," Sustainability, MDPI, vol. 12(17), pages 1-23, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:6960-:d:404579
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    References listed on IDEAS

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    1. Andrew Whitmore & Anurag Agarwal & Li Xu, 2015. "The Internet of Things—A survey of topics and trends," Information Systems Frontiers, Springer, vol. 17(2), pages 261-274, April.
    2. Shancang Li & Li Da Xu & Shanshan Zhao, 2015. "The internet of things: a survey," Information Systems Frontiers, Springer, vol. 17(2), pages 243-259, April.
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    Cited by:

    1. Raman Singh & Sean Sturley & Hitesh Tewari, 2023. "Blockchain-Enabled Chebyshev Polynomial-Based Group Authentication for Secure Communication in an Internet of Things Network," Future Internet, MDPI, vol. 15(3), pages 1-15, February.
    2. Habib Ullah Khan & Yasir Ali & Faheem Khan, 2023. "A Features-Based Privacy Preserving Assessment Model for Authentication of Internet of Medical Things (IoMT) Devices in Healthcare," Mathematics, MDPI, vol. 11(5), pages 1-17, February.
    3. Kithmini Godewatte Arachchige & Philip Branch & Jason But, 2023. "Evaluation of Blockchain Networks’ Scalability Limitations in Low-Powered Internet of Things (IoT) Sensor Networks," Future Internet, MDPI, vol. 15(9), pages 1-23, September.

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