Coding for Trusted Storage in Untrusted Networks

Oliveira, Paulo Ricardo de; Lima, Luísa; Vinhoza, Tiago T. V.; Barros, João; Médard, Muriel

doi:10.1109/tifs.2012.2217331

Cited by 39 publications

(44 citation statements)

References 29 publications

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“…(4) Pollution attack: In this attack, the server is able to offer a correct message as a proof in the challenge step, while the corrupted data are used to generate a new block during the repair process. Consequently, the auditor must check the integrity of the new block without having access to the original blocks [Zhang et al 2012;Oliveira et al 2012]. Chen et al [2010] proposed a holistic approach for remote data auditing in the network-coding-based storage systems (RDC-NC) by extending the single-server data auditing methods, such as PDP [Ateniese et al 2007] and POR [Juels and Kaliski 2007], to validate the integrity of the stored blocks on each server.…”

Section: Network-coding-based Remote Data Auditingmentioning

confidence: 99%

Remote Data Auditing in Cloud Computing Environments

et al. 2015

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Cloud computing has emerged as a long-dreamt vision of the utility computing paradigm that provides reliable and resilient infrastructure for users to remotely store data and use on-demand applications and services. Currently, many individuals and organizations mitigate the burden of local data storage and reduce the maintenance cost by outsourcing data to the cloud. However, the outsourced data is not always trustworthy due to the loss of physical control and possession over the data. As a result, many scholars have concentrated on relieving the security threats of the outsourced data by designing the Remote Data Auditing (RDA) technique as a new concept to enable public auditability for the stored data in the cloud. The RDA is a useful technique to check the reliability and integrity of data outsourced to a single or distributed servers. This is because all of the RDA techniques for single cloud servers are unable to support data recovery; such techniques are complemented with redundant storage mechanisms. The article also reviews techniques of remote data auditing more comprehensively in the domain of the distributed clouds in conjunction with the presentation of classifying ongoing developments within this specified area. The thematic taxonomy of the distributed storage auditing is presented based on significant parameters, such as scheme nature, security pattern, objective functions, auditing mode, update mode, cryptography model, and dynamic data structure. The more recent remote auditing approaches, which have not gained considerable attention in distributed cloud environments, are also critically analyzed and further categorized into three different classes, namely, replication based, erasure coding based, and network coding based, to present a taxonomy. This survey also aims to investigate similarities and differences of such a framework on the basis of the thematic taxonomy to diagnose significant and explore major outstanding issues.

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Section: Network-coding-based Remote Data Auditingmentioning

confidence: 99%

Remote Data Auditing in Cloud Computing Environments

et al. 2015

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“…Encrypt the files using the secret key and stored in the distributed storage system. The large files are split into different original system and it is encoding with the coded systems and stored in network [9].…”

Section: Related Workmentioning

confidence: 99%

An enhanced data security and trust management enabled framework for cloud computing systems

Cindhamani

Punya

Ealaruvi

et al. 2014

Fifth International Conference on Computing, Communications and Networking Technologies (ICCCNT)

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Cloud computing is an emerging and advanced technology in IT enterprise which provides services on demand. Cloud computing includes many advantages such as flexibility, improved performance and low cost. Besides its advantages, cloud has many security issues and challenges.In this paper, we propose an enhanced frame work for data security in cloud which follows the security polices such as integrity, confidentiality and availability. The data is stored in cloud by using 128 bit encryption and RSA algorithm, then we use the trust management i.e., Trusted Party Auditor (TPA) which audits the data instead of client. Thus, we show how efficiently the data can be secured related to performance analysis.

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“…The message authentication code (MAC) is a kind of hash function which has been used for checking the data integrity for a long time. In the cooperative Internet backup scheme proposed by Lillibridge et al [2], the Reed-Solomon erasure-correcting codes [3] are applied to generate redundancy blocks. After that, the MAC 233 is calculated for each encrypted data block.…”

Section: Related Workmentioning

confidence: 99%