Research Review on the Application of Homomorphic Encryption in Database Privacy Protection

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

International Journal of Cognitive Informatics and Natural Intelligence Pub Date : 2021-10-01 DOI:10.4018/ijcini.287600

Yong Ma, Jiale Zhao, Kangshun Li, Yuanlong Cao, Huyuan Chen, Youcheng Zhang

{"title":"Research Review on the Application of Homomorphic Encryption in Database Privacy Protection","authors":"Yong Ma, Jiale Zhao, Kangshun Li, Yuanlong Cao, Huyuan Chen, Youcheng Zhang","doi":"10.4018/ijcini.287600","DOIUrl":null,"url":null,"abstract":"With the advent and development of database applications such as big data and data mining, how to ensure the availability of data without revealing sensitive information has been a significant problem for database privacy protection. As a critical technology to solve this problem, homomorphic encryption has become a hot research area in information security at home and abroad in recent years. The paper sorted out, analyzed, and summarized the research progress of homomorphic encryption technology in database privacy protection. Moreover, the application of three different types of homomorphic encryption technology in database privacy protection was introduced respectively, and the rationale and characteristics of each technique were analyzed and explained. Ultimately, this research summarized the challenges and development trends of homomorphic encryption technology in the application of database privacy protection, which provides a reference for future research.","PeriodicalId":43637,"journal":{"name":"International Journal of Cognitive Informatics and Natural Intelligence","volume":"3 1","pages":"1-22"},"PeriodicalIF":0.6000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Cognitive Informatics and Natural Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijcini.287600","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}

引用次数: 2

Abstract

With the advent and development of database applications such as big data and data mining, how to ensure the availability of data without revealing sensitive information has been a significant problem for database privacy protection. As a critical technology to solve this problem, homomorphic encryption has become a hot research area in information security at home and abroad in recent years. The paper sorted out, analyzed, and summarized the research progress of homomorphic encryption technology in database privacy protection. Moreover, the application of three different types of homomorphic encryption technology in database privacy protection was introduced respectively, and the rationale and characteristics of each technique were analyzed and explained. Ultimately, this research summarized the challenges and development trends of homomorphic encryption technology in the application of database privacy protection, which provides a reference for future research.

查看原文本刊更多论文

同态加密在数据库隐私保护中的应用研究综述

随着大数据、数据挖掘等数据库应用的出现和发展，如何保证数据的可用性而不泄露敏感信息已成为数据库隐私保护的重要问题。同态加密作为解决这一问题的关键技术，近年来成为国内外信息安全领域的研究热点。本文对同态加密技术在数据库隐私保护中的研究进展进行了梳理、分析和总结。此外，还分别介绍了三种不同类型的同态加密技术在数据库隐私保护中的应用，并对每种技术的原理和特点进行了分析和说明。最后，本研究总结了同态加密技术在数据库隐私保护应用中的挑战和发展趋势，为今后的研究提供参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Cognitive Informatics and Natural Intelligence COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

2.00

自引率

11.10%

发文量

期刊介绍： The International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) encourages submissions that transcends disciplinary boundaries, and is devoted to rapid publication of high quality papers. The themes of IJCINI are natural intelligence, autonomic computing, and neuroinformatics. IJCINI is expected to provide the first forum and platform in the world for researchers, practitioners, and graduate students to investigate cognitive mechanisms and processes of human information processing, and to stimulate the transdisciplinary effort on cognitive informatics and natural intelligent research and engineering applications.