文章基本信息

标题：Extreme Confidential Component Mining Based on Coupling and Cohesion Strategy in Cloud Computing
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作者：Iyapparaja. M ; Dr. Sureshkumar.S ; Anand. R 等
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：12
出版社：S.S. Mishra
摘要：Cloud computing provides computation environment for the software, data access, and storage resources without requiring cloud users to know the location and other details of the computing infrastructure. It delivers convenient, on-demand access to shared pools of data, applications and ha rdware over the internet. Cloud computing provides unlimited infrastructure to store and execute customer data and program. In this paper auditing ensures the data correctness guaranteed through the symmetric keys from the three different server space. This paper also achieves the concept of Coupling and Cohesion for the shared data in the cloud. The proposed system also supports for the dynamic data operation such as append, insert, and delete. It also supports in identifying the misbehaving servers through distributed erasure-coded data. It also adapt to the situations like Byzantine failure, malicious data modification attack, and even server colluding attacks.
关键词：cloud computing; Coupling; Cohesion; symmetric keys; data dynamics