Computer Science

Computer Science ›› 2022, Vol. 49 ›› Issue (9): 355-360.doi: 10.11896/jsjkx.220100241

• Information Security • Previous Articles    

Privacy-preserving Hamming and Edit Distance Computation and Applications

DOU Jia-wei   

  1. School of Mathematics and Statistics,Shaanxi Normal University,Xi'an 710119,China
  • Received:2022-01-26 Revised:2022-06-08 Online:2022-09-15 Published:2022-09-09
  • About author:DOU Jia-wei,born in 1963,Ph.D,associate professor.Her main research interests include applied mathematics,cryptography and information security.
  • Supported by:
    National Natural Science Foundation of China(61272435) and Teaching Reform Research Project of Shaanxi Normal University(22JG37).

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Abstract: With the rapid development of information technology,privacy-preserving multiparty cooperative computation is becoming more and more popular.Secure multiparty computation is a key technology to address such problems.In scientific research and practical applications,people measure the similarity of two strings with Hamming(edit) distance.It is of great significance to study privacy-preserving Hamming(edit) distance computation.This paper studies privacy-preserving Hamming(edit) distance computation.First,we transform Hamming distance computation to inner product computation of vectors,and then use Okamoto-Uchiyama(OU) cryptosystem and encryption-and-choose technique to design protocol for Hamming distance.Second,we give each alphabet of a string a number,transform edit distance to determine whether the difference of the number of two alphabets is 0,and use OU cryptosystem to design a privacy-preserving edit distance computation protocol.The security of the protocol is strictly proved,the computational complexity of the protocol is analyzed,the actual implementation efficiency of the protocol is tested and compared with the existing results.Theoretical analysis and experimental results show that our protocols are efficient.

Key words: SMC, Hamming distance, Edit distance, Semi-honest model, Simulation paradigm

CLC Number: 

  • TP309.7
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