A two-party private string matching fuzzy vault scheme

Author:

Mullaymeri Xhino1,Karakasidis Alexandros1

Affiliation:

1. University of Macedonia, Thessaloniki, Greece

Publisher

ACM

Reference17 articles.

1. Perfectly Secure and Efficient Two-Party Electronic-Health-Record Linkage

2. Yanling Chen. 2020. Current approaches and challenges for the two-party privacy-preserving record linkage (PPRL). In Collaborative Technologies and Data Science in Artificial Intelligence Applications. 108--116. Yanling Chen. 2020. Current approaches and challenges for the two-party privacy-preserving record linkage (PPRL). In Collaborative Technologies and Data Science in Artificial Intelligence Applications. 108--116.

3. Secure smartcardbased fingerprint authentication

4. Samuel Daniel Conte and Carl De Boor. 2017. Elementary numerical analysis: an algorithmic approach. SIAM. 31--41 pages. Samuel Daniel Conte and Carl De Boor. 2017. Elementary numerical analysis: an algorithmic approach. SIAM. 31--41 pages.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. SNN-PPRL: A secure record matching scheme based on siamese neural network;Journal of Information Security and Applications;2023-08

2. A fuzzy vault scheme with multi-secret sharing;Third International Conference on Computer Communication and Network Security (CCNS 2022);2022-10-28

3. Accurate and efficient privacy-preserving string matching;International Journal of Data Science and Analytics;2022-04-13

4. Privacy-Preserving Record Linkage Using Local Sensitive Hash and Private Set Intersection;Lecture Notes in Computer Science;2022

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