期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：2
页码：1788-1795
出版社：TechScience Publications
摘要：Cloud storage facilitates users to store data remotely and benefits enterprise network or organization by minimizing the complexity of local hardware and software management. Despite the understandable on-demands, an infrastructure based services exposes user physical possession of outsourced data which certainly creates new security threats affecting data accuracy in cloud. In order to address the emerging problem against secure and reliable cloud storage, this paper proposes an elastic scattered storage scalability auditing (ESSSA) method, comprising homomorphic token and distributed scoring coded data. ESSSA method supports reliable user access to cloud storage with better quality communication and reduced computation cost. The auditing outcome not only guarantees robust cloud storage accuracy assurance, but at the same time achieves quick data fault localization through detection of malfunctioning server. The progressive or dynamic feature of cloud data is also manageable by proposed ESSSA method with secure and potential dynamic functioning on outsourced data including block modification, deletion, and addition. Analysis shows the proposed ESSSA method is highly potential and efficient against complex failure and malicious data modification attack. In addition, the better performance of the proposed ESSSA method is evaluated to justify the better quality communication and reduced computation cost. The proposed secure and reliable storage services in cloud based on elastic scattered storage scalability auditing security is implemented in JAVA. Experimental results reveals secure ESSSA mechanism with reliable storage services in cloud and better quality compared to existing methods. Security analysis and performance evaluation in terms of data integrity, communication cost and fault localization prove the better performance of ESSSA mechanism
关键词：secure cloud computing; reliable scattered;storage; data integrity; fault localization; quality;communication; data dynamics
