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Towards Developing Privacy-Preserved Data Security Approach (PP-DSA) in Cloud Computing Environment

S. Stewart Kirubakaran1,*, V. P. Arunachalam1, S. Karthik1, S. Kannan2

1 Department of Computer Science & Engineering, SNS College of Technology, Coimbatore, Tamilnadu, India
2 School of Computing Science and Engineering, Vellore Institute of Technology, Bhopal, Madhya Pradhesh, India

* Corresponding Author: S. Stewart Kirubakaran. Email:

Computer Systems Science and Engineering 2023, 44(3), 1881-1895.


In the present scenario of rapid growth in cloud computing models, several companies and users started to share their data on cloud servers. However, when the model is not completely trusted, the data owners face several security-related problems, such as user privacy breaches, data disclosure, data corruption, and so on, during the process of data outsourcing. For addressing and handling the security-related issues on Cloud, several models were proposed. With that concern, this paper develops a Privacy-Preserved Data Security Approach (PP-DSA) to provide the data security and data integrity for the outsourcing data in Cloud Environment. Privacy preservation is ensured in this work with the Efficient Authentication Technique (EAT) using the Group Signature method that is applied with Third-Party Auditor (TPA). The role of the auditor is to secure the data and guarantee shared data integrity. Additionally, the Cloud Service Provider (CSP) and Data User (DU) can also be the attackers that are to be handled with the EAT. Here, the major objective of the work is to enhance cloud security and thereby, increase Quality of Service (QoS). The results are evaluated based on the model effectiveness, security, and reliability and show that the proposed model provides better results than existing works.


Cite This Article

S. Stewart Kirubakaran, V. P. Arunachalam, S. Karthik and S. Kannan, "Towards developing privacy-preserved data security approach (pp-dsa) in cloud computing environment," Computer Systems Science and Engineering, vol. 44, no.3, pp. 1881–1895, 2023.

This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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