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Secure Multi-Cloud Storage Using Elastic Scattered Storage and Scalable Auditing
BibTeX
@MISC{Moorthy_securemulti-cloud,
author = {Durairaj Moorthy and Rasekar C},
title = {Secure Multi-Cloud Storage Using Elastic Scattered Storage and Scalable Auditing},
year = {}
}
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Abstract
Abstract — 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.
Keyphrases
esssa method scalable auditing quality communication reliable storage service esssa mechanism reduced computation cost elastic scattered storage scalability local hardware understandable on-demands dynamic feature communication cost cloud data complex failure block modification new security threat potential dynamic functioning abstract cloud storage data integrity data accuracy experimental result reveals malicious data modification attack homomorphic token fault localization security analysis performance evaluation software management user physical possession outsourced data reliable cloud storage robust cloud storage accuracy assurance
