Enhanced attribute based access control with secure deduplication for big data storage in cloud

Premkamal, Praveen Kumar; Pasupuleti, Syam Kumar; Singh, Abhishek Kumar; Alphonse, P. J. A.

doi:10.1007/s12083-020-00940-3

Cited by 30 publications

(8 citation statements)

References 37 publications

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“…Beside, once the owner is offline, the access control will be entirely dependent on AP. Premkamal et al [19] proposed an enhanced scheme with attribute-based access control by using the group key with the help of trusted entities.…”

Section: B Deduplication With Dynamic Ownership Managementmentioning

confidence: 99%

“…Second, to address dynamic ownership management, many schemes [4], [15]- [19] were proposed by using either trusted third party or semi-trusted third party to do proxy reencryption work, such as Authority Party (AP ) or The Public Cloud Provider (P ub − CSP ). On the one hand, it could be difficult to implement a trusted third party in practical applications [20].…”

Section: Introductionmentioning

confidence: 99%

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A Secure and Efficient Data Deduplication Scheme with Dynamic Ownership Management in Cloud Computing

Yang

Zhu

et al. 2022

2022 IEEE International Performance, Computing, and Communications Conference (IPCCC)

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Encrypted data deduplication is an important technique for saving storage space and network bandwidth, which has been widely used in cloud storage. Recently, a number of schemes that solve the problem of data deduplication with dynamic ownership management have been proposed. However, these schemes suffer from low efficiency when the dynamic ownership changes a lot. To this end, in this paper, we propose a novel server-side deduplication scheme for encrypted data in a hybrid cloud architecture, where a public cloud (Pub-CSP) manages the storage and a private cloud (Pri-CSP) plays a role as the data owner to perform deduplication and dynamic ownership management. Further, to reduce the communication overhead we use an initial uploader check mechanism to ensure only the first uploader needs to perform encryption, and adopt an access control technique that verifies the validity of the data users before they download data. Our security analysis and performance evaluation demonstrate that our proposed serverside deduplication scheme has better performance in terms of security, effectiveness, and practicability compared with previous schemes. Meanwhile, our method can efficiently resist collusion attacks and duplicate faking attacks.

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Section: B Deduplication With Dynamic Ownership Managementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Secure and Efficient Data Deduplication Scheme with Dynamic Ownership Management in Cloud Computing

Yang

Zhu

et al. 2022

2022 IEEE International Performance, Computing, and Communications Conference (IPCCC)

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“…This significant generation of data from several sources demands secure and reliable storage and exchange systems. Usually, the data is stored on cloud servers, however, this brings new concerns regarding data privacy, duplication and fine-grained access control [32], to the forefront. Thus, the technology of blockchain is being explored and utilized in various applications to investigate its effect and impact on record storage management and communication systems.…”

Section: Componential Classification Of Blockchain Privacy Protecting...mentioning

confidence: 99%

Empirical Evaluation of Privacy Efficiency in Blockchain Networks: Review and Open Challenges

2021

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With the widespread of blockchain technology, preserving the anonymity and confidentiality of transactions have become crucial. An enormous portion of blockchain research is dedicated to the design and development of privacy protocols but not much has been achieved for proper assessment of these solutions. To mitigate the gap, we have first comprehensively classified the existing solutions based on blockchain fundamental building blocks (i.e., smart contracts, cryptography, and hashing). Next, we investigated the evaluation criteria used for validating these techniques. The findings depict that the majority of privacy solutions are validated based on computing resources i.e., memory, time, storage, throughput, etc., only, which is not sufficient. Hence, we have additionally identified and presented various other factors that strengthen or weaken blockchain privacy. Based on those factors, we have formulated an evaluation framework to analyze the efficiency of blockchain privacy solutions. Further, we have introduced a concept of privacy precision that is a quantifiable measure to empirically assess privacy efficiency in blockchains. The calculation of privacy precision will be based on the effectiveness and strength of various privacy protecting attributes of a solution and the associated risks. Finally, we conclude the paper with some open research challenges and future directions. Our study can serve as a benchmark for empirical assessment of blockchain privacy.

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“…Microsoft, as well as EMC workflow, research shows that over 50%, besides 85% of information on main and subordinate devices of output, have been superfluous. One of the previous studies found that almost 80% of the organizations studying data deduction approaches over backup devices are pursuing to eliminate superfluous information to improve the productivity of their storage and to cut backup economy [1].…”

Section: Introductionmentioning

confidence: 99%

Decentralized and Privacy Sensitive Data De-Duplication Framework for Convenient Big Data Management in Cloud Backup Systems

Jeslin

Kumar²

2022

Symmetry

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The number of customers transferring information to cloud storage has grown significantly, with the rising prevalence of cloud computing. The rapidly rising data volume in the cloud, mostly on one side, is followed by a large replication of data. On the other hand, if there is a single duplicate copy of stored symmetrical information in the de-duplicate cloud backup the manipulation or lack of a single copy may cause untold failure. Thus, the deduplication of files and the auditing of credibility are extremely necessary and how they are achieved safely and effectively must be addressed in academic and commercial contexts urgently. In order to tune in this task by using application recognition, data similitude, and locality to simplify decentralized deduplication with two-tier internode and application deduction, we suggest a flexible direct decentralized symmetry deduplication architecture in a cloud scenario. It first distributes application logic to the contents of the directory through implementation-oriented steering to maintain a deployment location and also attributes the same kind of information to the cloud backup node with the storage node specificity by means of a hand printing-based network model to attain adequate global deduplication performance. We build up a new ownership mechanism during file deduplication to ensure continuity of tagging and symmetrical modeling and verify shared ownership. In addition, we plan an effective ownership policy maintenance plan. In order to introduce a probabilistic key process and reduce key storage capacity, a user-helped key is used for in-user block deduplication. Finally, the protection and efficiency audit demonstrate that the data integrity and accuracy of our system are ensured and symmetrically effective in the management of data ownership.

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Enhanced attribute based access control with secure deduplication for big data storage in cloud

Cited by 30 publications

References 37 publications

A Secure and Efficient Data Deduplication Scheme with Dynamic Ownership Management in Cloud Computing

A Secure and Efficient Data Deduplication Scheme with Dynamic Ownership Management in Cloud Computing

Empirical Evaluation of Privacy Efficiency in Blockchain Networks: Review and Open Challenges

Decentralized and Privacy Sensitive Data De-Duplication Framework for Convenient Big Data Management in Cloud Backup Systems

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