N-Cloud: Improving performance and security in cloud storage

Alsolami, Fahad; Chow, Chee-Onn

doi:10.1109/hpsr.2013.6602319

Cited by 11 publications

(4 citation statements)

References 5 publications

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“…Multi clouds, cloud of cloud, or inter cloud, are by definition the use of many cloud providers for data storage such as DSky [18], inercloud [19], and NCloud [20]. Authors in [21] use erasure coding to divide the data and stock it in different cloud providers to ensure its availability and to reduce the volume of data.…”

Section: Related Workmentioning

confidence: 99%

SecuredDW: A Homomorphic Schema to Securely Hosting Data Warehouse in the Cloud

Karkouda¹,

Nabli²,

Gargouri³

2019

RCS

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Currently, cloud computing has become the most popular technologies in the area of IT enterprise. It has many advantages such as computing power, storage, network and software as a service. Moreover, many other benefits have made it attractive. In fact, it is easy to deploy, its technical infrastructure is adaptable to the volume of business activity and its cost is relative to consumption. Whereas building a data warehouse typically necessitates an important initial investment, with the cloud pay-as-you-go paradigm, BI system can benefit from this new technology. However, cloud computing brings its own risks in terms of security. For this purpose, before outsourcing sensitive data to the cloud, the owner must encrypt his data to keep secure. In the particular context of cloud data warehouse, privacy is of critical importance because it contains sensitive data. Cloud provider proposes traditional security solutions to ensure the confidentiality of outsourced data. Unfortunately, those solutions are not practical in the case of data warehouse anymore because they induce a heavy overhead in terms of data storage and query performance. So, a new solution must be proposed for outsourcing data warehouse to the cloud that respects its specification and swings performance and security. In this paper, we propose (SecuredDW) a new sharing schema for securing and querying a data warehouse hosted in the cloud based in a homomorphic algorithm. The integrity of data is also addressed in this paper by proposing two new signatures to verify the correctness of data sent and received from the cloud. Theoretical results show the efficiency of Secured DW in terms of privacy and performance with respect to other solutions.

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Section: Related Workmentioning

confidence: 99%

SecuredDW: A Homomorphic Schema to Securely Hosting Data Warehouse in the Cloud

Karkouda¹,

Nabli²,

Gargouri³

2019

RCS

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“…That's why, researches in the literature have turned their attention to an alternative solution based on multi-cloud. So, to maintain confidentiality, multi-cloud schemes such as DSky [10], inercloud [11], and NCloud [12] use symmetric encryption tools and distribute encrypted data over multiclouds. CloudStash [13] preserves confidentiality by applying a secret sharing scheme [14] directly on the file.…”

Section: Related Workmentioning

confidence: 99%

A New Schema for Securing Data Warehouse Hosted in the Cloud

Karkouda

Nabli

Gargouri

2018

Lecture Notes in Business Information Processing

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Cloud computing is a new model in which computing infrastructure resources are provided as a service over the internet. Data owners can outsource their data in the cloud and benefit from on-demand high quality services. However, because cloud services and data owners are not in the same trusted domain, the outsourced data may be at risk. Therefore, data security is of critical importance in such a scenario. As a solution to this problem, data owners encrypt data before sending it to the cloud to ensure data confidentiality and cloud services decrypt it when processing queries. Such a scenario is not a suitable solution to data warehouse because of the large mass of data that will be processed .For that, this paper proposes a new schema based on the sample privacy homomorphism presented in [1]. This new schema improves the security of data warehouse hosted in the cloud, reduces storage space and processes encrypted data with minimum time complexity.

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“…Ensuring data security and key management are the two most essential ones. The authors of the works [7][8][9][10][11][12] opted to research the secure data storage and key management in various cloud systems.…”

Section: Related Workmentioning

confidence: 99%

Persistent Data Security in Public Clouds

Ahrache¹,

Badir²,

Sbihi³

2016

IJCA

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Recently, there has been increasing confidence for a favorable usage of big data drawn out from the huge amount of information deposited in a cloud computing system. Data kept on such systems can be retrieved through the network at the user's convenience. However, the data that users send include private information, and therefore, information leakage from these data is now a major social problem. The usage of secret sharing schemes for cloud computing have lately been approved to be relevant in which users deal out their data to several servers. Notably, in a (k,n) threshold scheme, data security is assured if and only if all through the whole life of the secret the opponent cannot compromise more than k of the n servers. In fact, a number of secret sharing algorithms have been suggested to deal with these security issues. However, a limitation of these methods is that first they do not consider long term data storage and second they assume that data tempering only occurs at retrieval time, after the distribution of the shares has been correctly done. In this paper these two problems are addressed by presenting a novel scheme to ensure a perpetual secure data storage and retrieval.

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N-Cloud: Improving performance and security in cloud storage

Cited by 11 publications

References 5 publications

SecuredDW: A Homomorphic Schema to Securely Hosting Data Warehouse in the Cloud

SecuredDW: A Homomorphic Schema to Securely Hosting Data Warehouse in the Cloud

A New Schema for Securing Data Warehouse Hosted in the Cloud

Persistent Data Security in Public Clouds

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