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A new hybrid encryption in fog–cloud environment for secure medical data-sharing

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Abstract

Secure data-sharing in fog–cloud computing is receiving greater attention in information communication systems since it provides users with efficient and effective data transmission. Data-sharing in a smart hospital management system provides a vital service that was previously unavailable or inaccessible. Sharing medical data over a centralized cloud through an insecure channel exposes insider threats and hostile attacks. Fog–cloud-based environments now offer improved data-sharing security. A secure multi-authority data-sharing technique for a smart hospital management system with attribute-based encryption, blowfish encryption, and Boneh–Lynn–Shacham signature is proposed in this paper. Data-sharing requires an additional layer of security even though Attribute-Based Encryption allows for flexible and fine-grained data access control. Hybrid encryption offers greater resistance against brute force assaults. To overcome the issue of user management and key revocation, the proposed work employs a multi-authority short signature scheme. According to the comparison and findings, the proposed approach offers secure and efficient data-sharing in a smart hospital management system.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli, Tamil Nadu, 620015, India

    G. A. Thushara & S. Mary Saira Bhanu

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  1. G. A. Thushara
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  2. S. Mary Saira Bhanu
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Contributions

GAT and SMSB contributed to conceptualization; GAT and SMSB contributed to methodology; GAT contributed to formal analysis and investigation; GAT contributed to writing—original draft preparation; GAT, SMSB contributed to writing—review and editing; GAT and SMSB contributed to resources; SMSB contributed to supervision.

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Correspondence to G. A. Thushara.

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Thushara, G.A., Bhanu, S.M.S. A new hybrid encryption in fog–cloud environment for secure medical data-sharing. Iran J Comput Sci 6, 169–183 (2023). https://doi.org/10.1007/s42044-022-00129-2

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