期刊目次

加入编委

期刊订阅

添加您的邮件地址以接收即将发行期刊数据:

Open Access Article

Journal of Electrical Engineering and Automation. 2024; 3: (2) ; 15-17 ; DOI: 10.12208/j.jeea.20240017.

Design of differential privacy mechanism for data privacy protection in the cloud computing environment
云计算环境下数据隐私保护的差分隐私机制设计

作者: 刘小龙 *

湖南省人才发展集团有限公司 湖南长沙

*通讯作者: 刘小龙,单位:湖南省人才发展集团有限公司 湖南长沙;

发布时间: 2024-12-31 总浏览量: 68

摘要

随着云计算服务的广泛应用,数据隐私保护成为了一个重要议题。本文旨在探讨适用于云计算环境下的差分隐私机制设计,通过分析现有技术及其局限性,提出一种增强型差分隐私框架以提升数据安全性和用户隐私保护水平。研究首先介绍了差分隐私的基本概念及其在云计算中的应用现状,接着详细讨论了新机制的设计理念、实现方法及其相对于传统方法的优势。所提出的差分隐私机制不仅能有效抵御各种隐私攻击,而且在保持数据可用性和查询准确性方面表现优异。本文为云计算环境中数据隐私保护提供了新的视角和解决方案。

关键词: 差分隐私;云计算;数据隐私保护;隐私攻击

Abstract

With the widespread application of cloud computing services, data privacy protection has become an important issue. This paper aims to explore the design of differential privacy mechanisms applicable to the cloud computing environment. By analyzing existing technologies and their limitations, an enhanced differential privacy framework is proposed to improve data security and the level of user privacy protection. The research first introduces the basic concept of differential privacy and its current application status in cloud computing. Then, it elaborately discusses the design concept, implementation method of the new mechanism, and its advantages compared with traditional methods. The proposed differential privacy mechanism can not only effectively resist various privacy attacks but also perform excellently in maintaining data availability and query accuracy. This paper provides a new perspective and solution for data privacy protection in the cloud computing environment.

Key words: Differential Privacy; Cloud Computing; Data Privacy Protection; Privacy Attack

参考文献 References

[1] 陈晓东,刘丽.云计算环境下的差分隐私保护技术[J].计算机学报,2023,46(5):1024-1038.

[2] 杨帆,孙涛.大数据时代的数据隐私保护策略[J].软件学报,2022,33(4):987-1001.

[3] 高翔,王莉.差分隐私在机器学习中的应用研究[J].信息安全研究,2021,7(3):234-248.

[4] 赵明,黄强.面向云计算的数据隐私保护机制综述[J].计算机科学,2020,47(2):156-169.

[5] 徐勇,李娜.新一代差分隐私技术的发展与挑战[J].信息网络安全,2023,23(6):456-470.

[6] 郭峰,罗兰.数据安全与隐私保护的最新进展[J].网络与信息安全学报,2019,5(1):34-48.

[7] 林海,方华.云计算环境中隐私保护技术的应用现状与展望[J].计算机工程与应用,2018,54(10):12-26.

[8] 韩冰,朱颖.差分隐私技术在大数据分析中的应用[J].数据分析与知识发现,2022,6(2):112-125.

引用本文

刘小龙, 云计算环境下数据隐私保护的差分隐私机制设计[J]. 电气工程与自动化, 2024; 3: (2) : 15-17.