Scalability Services in Cloud Computing Using Eyeos
BibTeX
@MISC{P._scalabilityservices,
author = {Deivendran P. and E. R. Naganathan and Manonmaniam Sundaranar},
title = {Scalability Services in Cloud Computing Using Eyeos},
year = {}
}
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Abstract
Abstract: Cloud storage enables users to remotely store their data and benefit of the demand high quality cloud applications without the difficulty of local hardware and software management. Though the benefits are clear, such a service is also reliable to the users ’ physical possession of their outsourced data, which inevitably poses new security risks towards the recovery of the data in cloud. In order to address this new problem and further achieve a secure and useful cloud storage service, we propose in this study a flexible distributed storage integrity mechanism, utilizing the homomorphic token and distributed data. The proposed design allows users to check the cloud storage with very lightweight communication and computation cost. The auditing result not only ensures strong cloud storage correctness guarantee, efficiency, but also simultaneously to access data error localization, i.e., the identification of misbehaving server. Considering the cloud data are dynamic in nature, the proposed design future supports secure and efficient dynamic operations on outsourced data, including block modification, update, deletion and append. The proposed scheme is highly efficient and secure against Byzantine failure, malicious data modification attack and even server colluding attacks.
Keyphrases
cloud computing using eyeos scalability service cloud storage local hardware cloud data new problem flexible distributed storage integrity mechanism new security risk design future block modification useful cloud storage service access data error localization computation cost efficient dynamic operation demand high quality malicious data modification attack homomorphic token lightweight communication software management byzantine failure proposed scheme user physical possession strong cloud storage correctness guarantee
