sis 23(5):

Research Article

Blockchain- Based Secure and Efficient Scheme for Medical Data

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  • @ARTICLE{10.4108/eetsis.3235,
        author={Manish Gupta and Rajendra Kumar Dwivedi},
        title={Blockchain- Based Secure and Efficient Scheme for Medical Data},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={10},
        number={5},
        publisher={EAI},
        journal_a={SIS},
        year={2023},
        month={6},
        keywords={IoT, Data, Fog Computing, Hyperledger Fabric, Hash Value},
        doi={10.4108/eetsis.3235}
    }
    
  • Manish Gupta
    Rajendra Kumar Dwivedi
    Year: 2023
    Blockchain- Based Secure and Efficient Scheme for Medical Data
    SIS
    EAI
    DOI: 10.4108/eetsis.3235
Manish Gupta1,*, Rajendra Kumar Dwivedi1
  • 1: Madan Mohan Malaviya University of Technology
*Contact email: manish.testing09@gmail.com

Abstract

Internet of Things (IoT) fog nodes are distributed near end-user devices to mitigate the impacts of low delay, position awareness, and spatial spread, which aren't permitted by numerous IoT apps. Fog computing (FC) also speeds up reaction times by decreasing the quantity of data sent to the cloud. Despite these advantages, FC still has a lot of work to do to fulfill security and privacy standards. The constraints of the FC resources are the cause of these difficulties. In reality, FC could raise fresh concerns about privacy and security. Although the Fog security and privacy problems have been covered in several articles recently, most of these studies just touched the surface of these difficulties. This paper provides a unique solution for the authentication of data by using hyperledger fabric. The fog layer store data transferred by the IoT layer and calculate the hash value. These hash values are now stored in hyperledger fabric for authentication purposes. The proposed model results compared with lewako’s and Fan’s scheme and found that the proposed model has 25.00 % less encryption time, 09.3 % less decryption time, 17.48 % less storage overhead, and 23.38 % less computation cost as compared to Fan’s scheme.