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Intelligent Digital Envelope for Distributed Cloud-Based Big Data Security

S. Prince Chelladurai1,*, T. Rajagopalan2

1 Department of Computer Science and Engineering, University College of Engineering, Villupuram, Kakupppam, 605 103, India
2 Department of Science and Humanities, University of College of Engineering, Ariyalur, Kavanur, 621 705, India

* Corresponding Author: S. Prince Chelladurai. Email: email

Computer Systems Science and Engineering 2023, 46(1), 951-960.


Cloud computing offers numerous web-based services. The adoption of many Cloud applications has been hindered by concerns about data security and privacy. Cloud service providers’ access to private information raises more security issues. In addition, Cloud computing is incompatible with several industries, including finance and government. Public-key cryptography is frequently cited as a significant advancement in cryptography. In contrast, the Digital Envelope that will be used combines symmetric and asymmetric methods to secure sensitive data. This study aims to design a Digital Envelope for distributed Cloud-based large data security using public-key cryptography. Through strategic design, the hybrid Envelope model adequately supports enterprises delivering routine customer services via independent multi-sourced entities. Both the Cloud service provider and the consumer benefit from the proposed scheme since it results in more resilient and secure services. The suggested approach employs a secret version of the distributed equation to ensure the highest level of security and confidentiality for large amounts of data. Based on the proposed scheme, a Digital Envelope application is developed which prohibits Cloud service providers from directly accessing insufficient or encrypted data.


Cite This Article

S. P. Chelladurai and T. Rajagopalan, "Intelligent digital envelope for distributed cloud-based big data security," Computer Systems Science and Engineering, vol. 46, no.1, pp. 951–960, 2023.

cc 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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