Privacy in the Cloud: A Survey of Existing Solutions and Research Challenges

被引：10
作者：
Silva, Paulo [1 ]
Monteiro, Edmundo [1 ]
Simoes, Paulo [1 ]
机构：
[1] Univ Coimbra, Dept Informat Engn, Ctr Informat & Syst, P-3030290 Coimbra, Portugal
来源：
IEEE ACCESS | 2021年 / 9卷
基金：
欧盟地平线“2020”;
关键词：
Data privacy; Privacy; Cloud computing; Measurement; Regulation; Tools; Encryption; Anonymization; cloud computing; privacy metrics; privacy enhancing technologies; SECURE MULTIPARTY COMPUTATION; K-ANONYMITY; DESIGN; PRESERVATION; ISSUES; MODEL;
D O I：
10.1109/ACCESS.2021.3049599
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Private data is transmitted and stored online every second. Therefore, security and privacy assurances should be provided at all times. However, that is not always the case. Private information is often unwillingly collected, sold, or exposed, depriving data owners of their rightful privacy. In this article, various privacy threats, concepts, regulations, and personal data types are analyzed. An overview of Privacy Enhancing Technologies (PETs) and a survey of anonymization mechanisms, privacy tools, models, and metrics are presented together with an analysis of respective characteristics and capabilities. Moreover, this article analyses the applicability of the reviewed privacy mechanisms on today's Cloud Services and identifies the current research challenges to achieve higher privacy levels in the Cloud.
引用
收藏
页码：10473 / 10497
页数：25
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