Provably Secure Linearly Homomorphic Aggregate Signature Scheme for Electronic Healthcare System

Yanyan Gu, Limin Shen, Futai Zhang and Jinbo Xiong
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Yanyan Gu: School of Computer and Electronic Information, Nanjing Normal University, Nanjing 210023, China
Limin Shen: School of Computer and Electronic Information, Nanjing Normal University, Nanjing 210023, China
Futai Zhang: College of Computer and Cyber Security, Fujian Normal University, Fuzhou 350117, China
Jinbo Xiong: College of Computer and Cyber Security, Fujian Normal University, Fuzhou 350117, China

Mathematics, 2022, vol. 10, issue 15, 1-14

Abstract: In recent years, deploying Internet of Things (IoT) in electronic healthcare systems (EHS) has made great progress in healthcare detection. It is extremely important to reduce the cost of communication and ensure the authenticity and integrity of data. A linearly homomorphic signature scheme can solve the above problems. However, when the scale of EHS is too large, the transmission, storage and verification of signatures need a high cost. An aggregate signature can combine many signatures generated by many different users into a short one. Therefore, only one aggregate signature needs to be processed during verification, transmission and storage. Combining the advantages of aggregate signature and linearly homomorphic signature, this paper proposes an aggregate signature scheme based on a linearly homomorphic signature for EHS, which has both linear homomorphism and aggregation, and realizes double data compression. Moreover, our scheme can resist a potential real attack, named a coalition attack. The security of this scheme is rigorously demonstrated based on the computational Diffie–Hellman assumption in the random oracle model.

Keywords: homomorphic signature; aggregate signature; linearly homomorphic aggregate signature; electronic healthcare system (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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