Securing Mass Distributed Big Data Storage using Intelligent Elliptic Curve Integrated Encryption Scheme in Multi-Cloud Computing
How to Cite?
Dr. V. Gokula Krishnan, Dr. J. Deepa, Dr. S. Venkata Lakshmi, T. A. Mohana Prakash, Dr. K. Sreerama Murthy, V. Divya, "Securing Mass Distributed Big Data Storage using Intelligent Elliptic Curve Integrated Encryption Scheme in Multi-Cloud Computing," International Journal of Engineering Trends and Technology, vol. 70, no. 3, pp. 29-36, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I1P204
Multiple public and private clouds are combined and formed as a multi-cloud environment. There are numerous cloud services that may collaborate and interact with one other, and its objective is to allow users to evade vendor blocking. In the cloud computing context, multi-cloud data safety and privacy is major challenge. The fact that cloud service providers have access to complex data is a big source of concern when it comes to security and privacy. Cloud computing adoption in many industries, including the banking sector and government agencies, is hampered by this fear. Therefore, an intelligent cryptography solution is projected in this research, which prevents cloud service providers from directly accessing the user’s data. The proposed method separates the file and stores the data on various cloud servers, according to the importance of sensitive data. The user determines whether or not the input file is classified as sensitive or non-sensitive. For sensitive files, different virtual machines (VMs) are used to store them, and for non-sensitive files, a single VM is assigned. The Elliptic Curve Integrated Encryption Scheme (ECIES) technique is used to encrypt the files before they are uploaded to the cloud server. Users` original data cannot be openly accessed by cloud service providers using an intelligent ECIES cryptography approach suggested in this study. Our experiments have evaluated the security and efficiency of our technique, and the findings show that it is capable of effectively defending against the most common cloud-based threats while still requiring a reasonable amount of processing time.
Cloud Computing; Data Privacy; Security; Elliptic Curve Integrated Encryption Scheme; Sensitive Data; Virtual Machine.
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