A Survey on Assured Deletion of Outsourced Data in Cloud Storage

REN Zheng-wei; LI Xue-ting; WANG Li-na; TONG Yan; XU Shi-wei; DING Wei

doi:10.12263/DZXB.20220204

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A Survey on Assured Deletion of Outsourced Data in Cloud Storage

SURVEYS AND REVIEWS | 更新时间：2025-12-08

- A Survey on Assured Deletion of Outsourced Data in Cloud Storage
- ACTA ELECTRONICA SINICA Vol. 50, Issue 10, Pages: 2542-2560(2022)
- 作者机构：
  
  1.武汉科技大学计算机科学与技术学院，湖北武汉 430065
  2.智能信息处理与实时工业系统湖北省重点实验室，湖北武汉 430065
  3.武汉大学国家网络空间安全学院，湖北武汉 430072
  4.华中农业大学，湖北武汉 430070
  5.中国地震局地震研究所地震大地测量重点实验室，湖北武汉 430071
- 作者简介：
- 基金信息：
- DOI：10.12263/DZXB.20220204
  CLC： TP309;
- Received：25 February 2022，
  
  Revised：2022-06-15，
  
  Published：25 October 2022
- 稿件说明：
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任正伟,李雪婷,王丽娜等.云存储中外包数据确定性删除研究综述[J].电子学报,2022,50(10):2542-2560.

REN Zheng-wei,LI Xue-ting,WANG Li-na,et al.A Survey on Assured Deletion of Outsourced Data in Cloud Storage[J].ACTA ELECTRONICA SINICA,2022,50(10):2542-2560.
任正伟,李雪婷,王丽娜等.云存储中外包数据确定性删除研究综述[J].电子学报,2022,50(10):2542-2560. DOI： 10.12263/DZXB.20220204.

REN Zheng-wei,LI Xue-ting,WANG Li-na,et al.A Survey on Assured Deletion of Outsourced Data in Cloud Storage[J].ACTA ELECTRONICA SINICA,2022,50(10):2542-2560. DOI： 10.12263/DZXB.20220204.

摘要

云存储的外包特性使得数据的所有权与管理权/持有权分离，导致数据安全成为用户关注的焦点之一.作为云存储中数据安全的一个组成部分和数据生命周期的最后一个阶段，外包数据确定性删除研究的是如何证实留存于云服务提供商、数据使用者和网络中的数据是失效、不可恢复的，从而防止数据滥用和隐私泄漏等安全隐患.其主要研究思路是利用密码学相关理论和技术将数据删除问题转换为密钥的安全管控和删除问题，即在假定加密算法是安全的情况下，安全管控和删除密钥将使得外包的密文数据不能被解密和访问，从而实现数据在计算上的删除.本文首先介绍了外包数据确定性删除的研究背景及其主要研究思路，并阐述了作者对于该问题的思考，包括该问题的模型及其蕴含的关键科学问题；之后，分类梳理了国内外研究现状，分析了每类方法的特点和发展趋势；接着，通过几个有着众多用户的应用案例展示了外包数据确定性删除所预想的部分功能；最后，探讨了该领域未来的研究方向.

Abstract

The outsourcing feature of cloud storage separates the ownership and management/possession of data

making data security being one of the research topics. In cloud storage

as a part of data security and the last stage of the data life cycle

assured deletion of the outsourced data is aimed to make sure that the data retained by the cloud service provider

data user

and network is invalid and unrecoverable

which can achieve the goal of preventing the potential security risks such as data abuse and privacy leakage. The main research methodology of data assured deletion is to convert the data deletion problem to controlling and deleting the encryption key securely using cryptography theories and technologies. More precisely

when the encryption algorithm is secure

the outsourced encrypted data cannot be decrypted and accessed any more if the encryption key is deleted securely. As a result

it can be considered that the data has been deleted computationally. This paper summaries and reviews the assured deletion problem of outsourced data in cloud storage. Firstly

we introduce the research background and the main research methodology of assured deletion of the outsourced data. Secondly

we expound our thinking on this problem

including the general model of this problem and the critical scientific problems it contains. Thirdly

we systematically survey the state-of-art of existing work in a classified manner and analyze the characteristics and research trends of each classification. Then

we demonstrate some of the expected functions of outsourced data assured deletion via several application cases with many users. Finally

the future research roadmaps of this field are discussed.

关键词

Keywords

references

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Key Laboratory of Earthquake Geodesy， Institute of Seismology， China Earthquake Administration

School of Computer Science and Technology， Wuhan University of Science and Technology

School of Computer,Wuhan University.

State Key Laboratory of Software Engineering,Wuhan University.

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