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首页> 外文期刊>Journal of computational and theoretical nanoscience >Restrictive Ambiguity and Add-On Architecture Prototype for Privacy Preservation in Cloud Auditing
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Restrictive Ambiguity and Add-On Architecture Prototype for Privacy Preservation in Cloud Auditing

机译：云审计中隐私保存的限制性歧义与附加架构原型

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摘要

This paper encompasses an architecture that allows processing of larger voluminous data and restricting the confidential data from being revealed to unreliable sources. The system is a modular and enables segmentation into components of varying importance, depending on the credibility of information. Clouds architecture following this set up will have an internet connected add-on segments of spaces for individual users. This segmentation will limit the option of public auditors to access certain data which belongs to user carefully categorized by themselves into protected segments. Resource allocation and retrieval of user data from Cloud Service provider (CSP) will also be efficient. From the obtained result, it is evident that communication overhead will be reduced as resource allocation will be having less latency in a modular architecture. Secondly, a data owner will be having the rights in selecting and providing the content for auditing to the Public Auditing tool. This enhances the security implementation of a modular architecture. Restrictive ambiguity is to ensure that the auditing tool does not gather any information from user or cloud. Without complete information of data owners, the available segments, credibility of information, it is impossible to hold their info or track them for later misuse.
机译：本文包含一个允许处理较大的大量数据并限制被揭示到不可靠的来源的机密数据的架构。根据信息的可信度，该系统是模块化的，并使分段变为不同重要性的组件。此设置之后的云架构将具有Internet连接的个人用户空间的附加段。此分割将限制公共审核员的选项，以访问属于用户仔细分类为受保护段的用户的某些数据。来自云服务提供商（CSP）的资源分配和检索用户数据也将是有效的。从所获得的结果中，显而易见，随着资源分配在模块化架构中的延迟较少，即通信开销将减少。其次，数据所有者将具有选择和提供用于审计的内容以审核的权利。这增强了模块化架构的安全实现。限制性模糊是为了确保审计工具没有收集来自用户或云的任何信息。没有数据所有者的完整信息，可用的细分，信息可信度，无法抓住他们的信息或跟踪它们以便稍后滥用。

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