Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Cloud-based Full Homomorphic Encryption Algorithm by Gene Matching

  • Pingping Li (Institute of Digital Information Technology, Zhejiang Technical Institute of Economics) ;
  • Feng Zhang (Applied Engineering College, Zhejiang Business College)
  • Received : 2022.12.21
  • Accepted : 2023.03.11
  • Published : 2024.08.31
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Abstract

To improve the security of gene information and the accuracy of matching, this paper designs a homomorphic encryption algorithm for gene matching based on cloud computing environment. Firstly, the gene sequences of cloud files entered by users are collected, which are converted into binary code by binary function, so that the encrypted text is obviously different from the original text. After that, the binary code of genes in the database is compared with the generated code to complete gene matching. Experimental analysis indicates that when the number of fragments in a 1 GB gene file is 65, the minimum encryption time of the algorithm is 80.13 ms. Aside from that, the gene matching time and energy consumption of this algorithm are the least, which are 85.69 ms and 237.89 J, respectively.

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Acknowledgement

The research is supported by Basic Public Welfare Research Project of Zhejiang Province - Research on Cooperative Task Allocation Mechanism in Heterogeneous Multi - Mobile Robot System (No. LGG19F020009).

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