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A multi-dimensional ciphertexts cross domain aggregation scheme supporting fault tolerance in intelligent medical systems.

Authors :
ZHANG Xiao-jun
LI Xing-peng
ZHANG Jing-wei
TANG Wei
Source :
Computer Engineering & Science / Jisuanji Gongcheng yu Kexue. Aug2024, Vol. 46 Issue 8, p1403-1413. 11p.
Publication Year :
2024

Abstract

To address the problem of data islands in Intelligent medical systems, achieve the goal of medical data security convergence, and simultaneously ensure the confidentiality, integrity and availability of medical data in transmission and storage process, this paper proposes a verifiable multi-dimensional medical ciphertexts cross domain aggregation scheme supporting transmission fault tolerance. The scheme integrates edge computing servers into the traditional cloud computing framework. By designing a homomorphic encryption algorithm and combining the Shamir secret sharing technology, this scheme realizes two-layer aggregation of multi-dimensional encrypted data with transmission fault tolerance. The scheme designs a digital signature algorithm based on elliptic curve, to ensure the integrity of medical encrypted data in the process of transmission and storage. In particular, the medical data analysis center can flexibly select target areas from the cloud server for cross domain aggregation, and exploit cloud storage audit mechanism to fulfil the lightweight integrity verification of the aggregation results. According to Horner's rule and the private key, the medical data analysis center can obtain the aggregation results of various dimensions of medical data from end users in the corresponding region. Security analysis and performance comparison demonstrate that this scheme can be securely and efficiently deployed in intelligent medical systems. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
1007130X
Volume :
46
Issue :
8
Database :
Academic Search Index
Journal :
Computer Engineering & Science / Jisuanji Gongcheng yu Kexue
Publication Type :
Academic Journal
Accession number :
179575154
Full Text :
https://doi.org/10.3969/j.issn.1007-130X.2024.08.009