An efficient secure data deduplication method using radix trie with bloom filter (SDD-RT-BF) in cloud environment

With the tremendous growth of available digital data, the use of Cloud Service Providers (CSPs) are gaining more popularity, since these types of services promise to provide convenient and efficient storage services to end-users by taking advantage of a new set of benefits and savings offered by cloud technologies in terms of computational, storage, bandwidth, and transmission costs. In order to achieve savings in storage, CSPs often employ data dedplication techniques to eliminate duplicated data. However, benefits gained through these techniques have to balanced against users' privacy concerns, as these techniques typically require full access to data. In this thesis, we propose solutions for different data types (text, image and video) for secure data deduplication in cloud environments. Our schemes allow users to upload their data in a secure and efficient manner such that neither a semi-honest CSP nor a malicious user can access or compromise the security of the data. We use different image and video processing techniques, such as data compression, in order to further improve the efficiency of our proposed schemes. The security of the deduplication schemes is provided by applying suitable encryption schemes and error correcting codes. Moreover, we propose proof of storage protocols including Proof of Retrievability (POR) and Proof of Ownership (POW) so that users of cloud storage services are able to ensure that their data has been saved in the cloud without tampering or manipulation. Experimental results are provided to validate the effectiveness of the proposed schemes.

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Secure Data Deduplication in Cloud Environments

10.32920/ryerson.14654145 ◽

2021 ◽

Author(s):

Fatema Rashid

Keyword(s):

Video Processing ◽

Service Providers ◽

Cloud Service ◽

Error Correcting Codes ◽

Digital Data ◽

Data Deduplication ◽

Data Types ◽

Efficient Manner ◽

Secure Data ◽

Cloud Environments

With the tremendous growth of available digital data, the use of Cloud Service Providers (CSPs) are gaining more popularity, since these types of services promise to provide convenient and efficient storage services to end-users by taking advantage of a new set of benefits and savings offered by cloud technologies in terms of computational, storage, bandwidth, and transmission costs. In order to achieve savings in storage, CSPs often employ data dedplication techniques to eliminate duplicated data. However, benefits gained through these techniques have to balanced against users' privacy concerns, as these techniques typically require full access to data. In this thesis, we propose solutions for different data types (text, image and video) for secure data deduplication in cloud environments. Our schemes allow users to upload their data in a secure and efficient manner such that neither a semi-honest CSP nor a malicious user can access or compromise the security of the data. We use different image and video processing techniques, such as data compression, in order to further improve the efficiency of our proposed schemes. The security of the deduplication schemes is provided by applying suitable encryption schemes and error correcting codes. Moreover, we propose proof of storage protocols including Proof of Retrievability (POR) and Proof of Ownership (POW) so that users of cloud storage services are able to ensure that their data has been saved in the cloud without tampering or manipulation. Experimental results are provided to validate the effectiveness of the proposed schemes.

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An Approach for Secure Data Storage in Cloud Environment

International Journal of Computer and Communication Engineering ◽

10.7763/ijcce.2013.v2.171 ◽

2013 ◽

pp. 206-209 ◽

Cited By ~ 1

Author(s):

M. Gobi

Keyword(s):

Data Storage ◽

Cloud Environment ◽

Secure Data

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Deduplication in Cloud Storage

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.b1027.1292s19 ◽

2019 ◽

Vol 9 (2S) ◽

pp. 364-368

Keyword(s):

Data Storage ◽

Cloud Storage ◽

Cloud Service ◽

Information Storage ◽

Cloud Environment ◽

Data Deduplication ◽

Cloud Service Provider ◽

Level Data ◽

Block Level ◽

Individual Client

Cloud Computing is well known today on account of enormous measure of data storage and quick access of information over the system. It gives an individual client boundless extra space, accessibility and openness of information whenever at anyplace. Cloud service provider can boost information storage by incorporating data deduplication into cloud storage, despite the fact that information deduplication removes excess information and reproduced information happens in cloud environment. This paper presents a literature survey alongside different deduplication procedures that have been based on cloud information storage. To all the more likely guarantee secure deduplication in cloud, this paper examines file level data deduplication and block level data deduplication.

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