A Unified Model for Cloud Data Confidentiality


  • A. Vithya Vijayalakshmi M.Phil Scholar, Department of Computer Science, St. Joseph’s College, Trichy, Tamil Nadu, India
  • N. Veeraragavan Ph.D Scholar, Department of Computer Science, St. Joseph’s College, Trichy, Tamil Nadu, India
  • L. Arockiam Associate Professor, Department of Computer Science, St. Joseph’s College, Trichy, Tamil Nadu, India




Cloud Storage, Database Management, Data Confidentiality, Encryption, Obfuscation


Cloud computing is a developing technology which gets more attention from both the industries and academia. The cloud storage is one of the main benefit in cloud computing, which is particularly attractive for the users who needs unpredictable storage for their enterprises and so on. Minimum storage and processing cost is an obligatory requirement of all organization and industries, while analysis of data and information is mandatory in all organization. Although there is a reduction in cloud storage cost, customers has to face more technical and security problems such as data integrity, confidentiality and availability. If there is no confidentiality, then, there is no guarantee for the data on cloud. Many researches have been proposed number of techniques for data security in the cloud. However, there are still many issues in cloud data storage. The optimum solution to ensure the confidentiality in cloud storage is to encrypt the data whereas encryption alone fails to give high security to the data in the cloud storage. To give maximum protection to cloud storage, this paper proposes a unified combined model of both encryption and obfuscation. Encryption is the process of converting original text and Obfuscation is a process of encrypting numerical type of data, the researchers proved that by combining these two data protection techniques, the data will be more protective on cloud storage.


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How to Cite

Vithya Vijayalakshmi, A., Veeraragavan, N., & Arockiam, L. (2018). A Unified Model for Cloud Data Confidentiality. Asian Journal of Science and Applied Technology, 7(1), 23–27. https://doi.org/10.51983/ajsat-2018.7.1.2786