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Towards secure cloud storage services.

机译:迈向安全的云存储服务。

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摘要

Cloud computing is anticipated to revolutionize the Information and Communication Technology sector and has been a mainstream of research over the last decade. The cloud computing, upsurges the capabilities of the hardware resources by optimal and shared utilization. The above mentioned features encourage the organizations and individual users to shift their data, applications and services to the cloud. However, the services provided by third-party cloud service providers entail additional security threats.;Data being one of the prime assets of the organizations must be protected from all sorts of security threats. The data in the cloud is much more vulnerable to risks in terms of confidentiality, integrity, and availability in comparison to the conventional computing model. The ever increasing number of users and applications leads to enhanced security risks. Violation of integrity may also result from multi-tenant nature of the cloud. Employee of SaaS providers, having access to information may also act as a potential risk.;Considering the paramount importance of data security in the cloud environment, we propose methodologies towards the secure cloud storage services. We propose methodologies to secure: (a) Single user data, (b) Group shared data, and (c) approach security and performance collectively. We propose Data Security for Cloud Environment with Semi-trusted third party (DaSCE) protocol, a cloud storage security system that provide key management, access control, and file assured deletion. Parts of keys are stored at semi-trusted servers called key managers. The key management is accomplished using (k, n) threshold secret sharing mechanism. Finally, we present the DROPS methodology that collectively deals with the security and performance in terms of retrieval time. The data file is fragmented and the fragments are dispersed over multiple nodes. The nodes are separated by means of T-coloring. The fragmentation and dispersal ensures that no significant information is obtainable by an adversary in case of a successful attack.
机译:预计云计算将彻底改变信息和通信技术领域,并且在过去十年中一直是研究的主流。云计算通过优化和共享利用来提升硬件资源的功能。上述功能鼓励组织和个人用户将其数据,应用程序和服务转移到云中。但是,第三方云服务提供商提供的服务会带来额外的安全威胁。数据作为组织的主要资产之一,必须受到保护,免受各种安全威胁。与传统计算模型相比,云中的数据在机密性,完整性和可用性方面更容易受到风险的影响。用户和应用程序数量的不断增加导致安全风险的提高。违反完整性也可能是由于云的多租户性质造成的。 SaaS供应商的员工可能会访问信息,这也可能构成潜在的风险。考虑到云环境中数据安全的最重要意义,我们提出了安全云存储服务的方法论。我们提出了以下方法来保护:(a)单用户数据,(b)组共享数据,以及(c)共同处理安全性和性能。我们建议使用半信任第三方(DaSCE)协议为云环境提供数据安全性,这是一种提供密钥管理,访问控制和文件保证删除的云存储安全系统。密钥的一部分存储在称为密钥管理器的半信任服务器上。密钥管理使用(k,n)阈值秘密共享机制完成。最后,我们提出了DROPS方法,该方法从检索时间的角度共同处理安全性和性能。数据文件被碎片化,并且碎片分散在多个节点上。节点通过T色分隔。分散和分散确保在成功攻击的情况下,对手无法获得大量信息。

著录项

  • 作者

    Ali, Mazhar.;

  • 作者单位

    North Dakota State University.;

  • 授予单位 North Dakota State University.;
  • 学科 Engineering Computer.;Computer Science.;Information Technology.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 103 p.
  • 总页数 103
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:52:53

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