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云服务中数据完整性验证技术综述
引用本文:孙明强,田秀霞,张安勤.云服务中数据完整性验证技术综述[J].上海电力学院学报,2017,33(4):407-413.
作者姓名:孙明强  田秀霞  张安勤
作者单位:上海电力学院 计算机科学与技术学院,上海电力学院 计算机科学与技术学院,上海电力学院 计算机科学与技术学院
基金项目:国家自然科学基金(61532021);上海市科学技术委员会地方能力建设项目(15110500700).
摘    要:随着业务量的不断增长,越来越多的企业接受了云计算,数据也从本地迁移到了云端.这种新的数据存储模式也引发了众多安全问题,而如何确保云服务器中数据的完整性是其中的关键问题.数据拥有者亟需一个稳定、安全、可信的完整性审计方案,用于审核云服务器中数据的完整性和可用性.阐述了云计算环境下数据完整性系统模型和安全模型,以及云存储数据完整性审计的研究现状,并重点分析了部分经典方案,通过方案对比,指出当前方案存在的优点、缺陷,以及云服务中数据完整性验证当前仍然面临的安全与隐私挑战,并探讨了该领域未来的研究趋势.

关 键 词:云服务  数据完整性  隐私保护  纠删码
收稿时间:2017/3/9 0:00:00

A Survey of Data Integrity Verification Techniques in Cloud Services
SUN Mingqiang,TIAN Xiuxia and ZHANG Anqin.A Survey of Data Integrity Verification Techniques in Cloud Services[J].Journal of Shanghai University of Electric Power,2017,33(4):407-413.
Authors:SUN Mingqiang  TIAN Xiuxia and ZHANG Anqin
Affiliation:School of Computer and Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China,School of Computer and Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China and School of Computer and Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China
Abstract:With the growing volume of business,more and more enterprises are accepting the cloud computing,with data migrating from the local to the cloud.This new data storage model also causes many security problems,among which ensuring the integrity in the cloud server is a critical one.The data owner needs to have a stable,safe,reliable integrity audit framework,for auditing the integrity of the data in the cloud server and availability.The cloud computing environment data integrity and security model,system model and the research status of cloud storage data integrity audit are expounded,with focuses on analyzing some classical solution through scheme comparison.It is pointed out that the advantages and defects exist in the current scheme.Refining data integrity verification in cloud services is currently still facing the challenges of security and privacy problems,and the trend of research in this field are discussed.
Keywords:cloud service  data integrity  privacy protection  eraser coding
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