Privacy-preserving association rule mining via multi-key fully homomorphic encryption-Reference-Cited by-同舟云学术

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Privacy-preserving association rule mining via multi-key fully homomorphic encryption

Published:2023-02 Issue:2 Volume:35 Page:641-650
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Jia Peiheng,Zhang Jie,Zhao Bowen,Li Hongtao,Liu Ximeng

Funder

Natural Science Foundation of Fujian Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Computer Science

Reference26 articles.

1. Mining association rules between sets of items in large databases;Agrawal,1993

2. On the concrete hardness of learning with errors;Albrecht;J. Mathe. Cryptol.,2015

3. (leveled) fully homomorphic encryption without bootstrapping;Brakerski;ACM Trans. Comput. Theory (TOCT),2014

4. Multi-key homomorphic encryption from tfhe;Chen,2019

5. Secure k k-nn query on encrypted cloud data with multiple keys;Cheng;IEEE Trans. Big Data,2017

Cited by 1 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. WBIN-Tree: A Single Scan Based Complete, Compact and Abstract Tree for Discovering Rare and Frequent Itemset Using Parallel Technique;IEEE Access;2024

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