Security Enhanced Attribute Based Signcryption for Private Data Sharing in Cloud

Pei, Xin; Wang, Yongjian; Wei, Yao; Lin, Jun; Peng, Ruxiang

doi:10.1109/trustcom.2016.0133

Cited by 1 publication

(1 citation statement)

References 15 publications

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“…The cloud computing environment also enforces the periodic exchange of data that is independent of the location of data stored in the cloud infrastructure [7]. The majority of the contributed work in the literature propounded for ensuring security proved that pseudonym as the remarkable approach that can ensure security and eliminate the predominant overhead in cloud data dissemination [8][9]. In addition, the pseudonym generation cost and pseudonym verification cost was determined to be enhanced during the deployment of the pseudonym process of security enforcement.…”

Section: Introductionmentioning

confidence: 99%

Pseudonym-Based Privacy Preserving Framework for Facilitating Cloud Data Security

Rosy¹

2019

IJRTE

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The advent of cloud computing has revolutionized the option of sharing cloud resources among the cloud users for minimizing the cost overhead. But, the cloud data security is considered as the predominant issue that need to be addressed through the implementation of privacy preserving approaches that sustains and prevents the cloud resources and users from being compromised by the malicious intruders. In this paper, a Pseudonym-based Privacy Preservation Framework (PBPRF) is proposed for understanding its potential towards the accuracy and privacy preservation of cloud data based on the concept of P-Gene. This proposed PBPRF incorporates the benefits of the P-Gene which is responsible in the cloud space for providing security for the stored and utilized private data in the cloud that are periodically exchanged with the clients of the cloud environment. This proposed PBPRF scheme ensures secure sharing of data by relying on a trustworthy data aggregation scheme which is fully dependent on erasable data hiding technique. The simulation experiments and results of the proposed PBPRF mechanism is compared with the baseline PRIAS and TPAAAS techniques in terms of pseudonym generation cost, pseudonym verification, execution time and pseudonym verification time under batched and separated environment.

show abstract

Section: Introductionmentioning

confidence: 99%

Pseudonym-Based Privacy Preserving Framework for Facilitating Cloud Data Security

Rosy¹

2019

IJRTE

View full text Add to dashboard Cite

show abstract

Security Enhanced Attribute Based Signcryption for Private Data Sharing in Cloud

Cited by 1 publication

References 15 publications

Pseudonym-Based Privacy Preserving Framework for Facilitating Cloud Data Security

Pseudonym-Based Privacy Preserving Framework for Facilitating Cloud Data Security

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