Abstract

Information technology provides a service called cloud computing, which offers many beneficial functions. But there are a lot of problems and drawbacks with cloud computing, the most significant of which is the uncertainty and possible danger presented by the privacy and security restrictions. According to reports, there are reportedly fewer real-time cloud apps made exclusively for businesses than there are for consumers. This is allegedly due to concerns about security. When dealing with suppliers that have a questionable reputation, it is essential to ensure that the cloud management and service provider rigorously adheres to the highest standards of security and privacy. This study recommends enhancing the security protocols for sensitive data in cloud computing by using multi-layer encryption methods. The security and privacy of data kept on a cloud server may be greatly improved by using the layer-wise encryption technique. As a consequence, there is an improvement in security for both the cloud provider and the data owner. Users are essentially prevented from accessing the data by this encryption method unless the data owner specifically grants permission. The advanced encryption standard (AES) symmetric encryption method and the Rivest-Shamir Adleman (RSA) asymmetric encryption method are among the suggested approaches. Users who want to receive messages in the symmetric encryption process must exchange a special, unique key. On the other hand, asymmetric encryption encrypts and decrypts communications as they are being sent using both a private key and a public key. Then, a viability analysis is carried out for the two encryption algorithms previously mentioned, which are responsible for protecting the confidentiality and integrity of the data related to the other techniques.

Details

Title
A Layered Approach For Improved Cloud Storage Security And Protection Of Access Policy
Author
Gundala Venkata Rama Lakshmi; Radha, Marepalli; Sandhya, G; Ambika, K; T. Durga Bhavani
Section
Green Computing
Publication year
2025
Publication date
2025
Publisher
EDP Sciences
ISSN
25550403
e-ISSN
22671242
Source type
Conference Paper
Language of publication
English
ProQuest document ID
3185100162
Copyright
© 2025. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License.