计算机工程与科学2024，Vol.46Issue(6)：1032-1040,9.DOI:10.3969/j.issn.1007-130X.2024.06.010
区块链环境中的隐私保护推荐算法研究
A privacy protection recommendation algorithm in block chain environment
摘要
Abstract
For the problem that recommendation algorithms in the blockchain environment are diffi-cult to resist malicious attacks and have poor recommendation results.On the one hand,a fast homo-morphic encryption algorithm based on integer vector is proposed to protect the privacy protection of us-er data,and its security is guaranteed by the LWE problem.On the other hand,an efficient recommen-dation algorithm is designed based on E2LSH,which distributes the key according to the hash bucket number,so that users under the same hash bucket can perform homomorphic encryption operations and quickly calculate the similarity.On the basic system model of blockchain+IPFS,a comparison experi-ment with the latest relevant privacy-preserving recommendation algorithms is conducted using public datasets.The results show that the algorithms in this paper have an ideal recommendation effect and speed while security and privacy are guaranteed.关键词
区块链/隐私保护/局部敏感哈希/同态加密Key words
blockchain/privacy protection/locality sensitive hashing/homomorphic encryption分类
信息技术与安全科学引用本文复制引用
赵文韬,官礼和,何建国,唐昊..区块链环境中的隐私保护推荐算法研究[J].计算机工程与科学,2024,46(6):1032-1040,9.基金项目
国家自然科学基金(12271067) （12271067）
重庆市高校创新研究群体项目(CXQT21021) （CXQT21021）
重庆市研究生联合培养基地建设项目(JDLHPYJD2021016) （JDLHPYJD2021016）
