The Study of Cloud Data Privacy Preserving Mechanisms

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题名:	The Study of Cloud Data Privacy Preserving Mechanisms
作者:	Lin, Yung-Wang
贡献者:	資訊工程學系
关键词:	Cloud Computing;Cloud Database;Data Encryption;Data Fragmentation;Data Masking;Access Control
日期:	2015
上传时间:	2015-11-20
出版者:	亞洲大學
摘要:	Due to the ever-updated technology of the Internet and the acceleration of network bandwidth, cloud computing has arisen. The development of cloud has offered an effective platform, which enables users to swiftly store and share the data. Organizations at all levels or individuals no longer need to pay extra cost purchasing information technology equipment, but seek multi-functional cloud service from the providers. Thus, to cater to the cost down of manpower and the decreased budge of the equipment, cloud will be the best option. Nonetheless, using the cloud system has its inevitable risk. It is highly possible that hackers visit the platform with its authentication mechanisms and access others personal data, which has posed a threat to cloud data. This study focuses on the issue of illegal access of personal documents and seeks corresponding solutions. Three focal points will be brought up regarding the information security. First and foremost, we will discuss the management of personal data as per ISO SOP and domestic regulations. Secondly, we discuss the solutions to the privacy of cloud databases, which include data encryption and data fragmentations. K-anonymity is adopted to discuss data encryption; as for data fragmentations, we use collection as a solution. This study suggests enterprises adopt both methodologies to ensure personal data preserving. Thirdly, this study focuses on discussing data masking in regard to classified documents. With authorization mechanisms, data bits of digital archives can only be correctly and completely accessed by legitimate users. This study aims at preserving a low-risk and high-reliability cloud environment.
显示于类别:	[資訊工程學系] 博碩士論文

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