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Forward Privacy Preservation in IoT enabled Healthcare Systems
Journal article   Open access  Peer reviewed

Forward Privacy Preservation in IoT enabled Healthcare Systems

Ke Wang, Chien-Ming Chen, Zhuoyu Tie, MOHAMMAD SHOJAFAR, Sachin Kumar and Saru Kumari
IEEE transactions on industrial informatics, pp.1-1
08/03/2021

Abstract

privacy preservation Medical services Transforms Internet of things (IoT) Encryption Security Indexes forward privacy healthcare systems Cryptography Informatics
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IoT-enabled smart healthcare systems has the characteristics of heterogeneous fusion, cross domain, collaborative autonomy, dynamic change and open interconnection, but they bring huge challenges in privacy issues. We proposed a scheme of forward privacy preserving for IoT-enabled healthcare systems, which mainly includes a searchable encryption scheme to achieve privacy preserving and searchable function. Our scheme uses trapdoor permutation to change the status counter, and it makes the adversary difficult to determine the valid status counter of inserted record with only the public key of the client. Our mechanism can solve the problem of verifying the correctness of the search results in the top-k search scenario with only part of the search results. The formal security analysis proves that our scheme achieves forward privacy preservation which can guarantee the privacy of healthcare data. Besides, performance evaluation shows our scheme are efficient and secure to preserve privacy of IoT-enabled healthcare systems.

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