Ensuring Security and Privacy Preservation for Cloud Data Services

Author:

Tang Jun1ORCID,Cui Yong2,Li Qi3,Ren Kui4,Liu Jiangchuan5,Buyya Rajkumar6

Affiliation:

1. Tsinghua University; Zhengzhou Institute of Information Science and Technology, Beijing, China

2. Tsinghua University, Beijing, China

3. Tsinghua University, Shenzhen, China

4. State University of New York at Buffalo, NY, USA

5. Simon Fraser University, BC, Canada

6. University of Melbourne, VIC, Australia

Abstract

With the rapid development of cloud computing, more and more enterprises/individuals are starting to outsource local data to the cloud servers. However, under open networks and not fully trusted cloud environments, they face enormous security and privacy risks (e.g., data leakage or disclosure, data corruption or loss, and user privacy breach) when outsourcing their data to a public cloud or using their outsourced data. Recently, several studies were conducted to address these risks, and a series of solutions were proposed to enable data and privacy protection in untrusted cloud environments. To fully understand the advances and discover the research trends of this area, this survey summarizes and analyzes the state-of-the-art protection technologies. We first present security threats and requirements of an outsourcing data service to a cloud, and follow that with a high-level overview of the corresponding security technologies. We then dwell on existing protection solutions to achieve secure, dependable, and privacy-assured cloud data services including data search, data computation, data sharing, data storage, and data access. Finally, we propose open challenges and potential research directions in each category of solutions.

Funder

National Natural Science Foundation of China

US National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Reference135 articles.

1. Amazon. 2015a. AWS Security Center. (2015). http://aws.amazon.com/security/. Amazon. 2015a. AWS Security Center. (2015). http://aws.amazon.com/security/.

2. Amazon. 2015b. Microsoft Azure Trust Center. (2015). http://azure.microsoft.com/en-us/support/trust-center/. Amazon. 2015b. Microsoft Azure Trust Center. (2015). http://azure.microsoft.com/en-us/support/trust-center/.

3. A view of cloud computing

4. Provable data possession at untrusted stores

5. Scalable and efficient provable data possession

Cited by 171 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

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3