Manuscript Number : SHISRRJ247290
Publicly Verifiable and Efficient Fine-Grained Data Deletion Scheme in Cloud Computing
Authors(2) :-S E Suresh, Singannagari Uma Pavani Data storage and processing has been radically transformed by cloud computing, but it also raises concerns about data privacy and security. In this paper, the authors provide a secure fine-grained deletion scheme for cloud computing that guarantees public verifiability as well as efficiency based on the Advanced Encryption Standard (AES). It also allows the owner of data to erase specific parts of his/her stored information without losing control and privacy. While AES encryption is used to maintain confidentiality of data, public verifiability ensures integrity of deletion process. The proposed scheme provides efficient deletion operations with reduced computational overhead and storage costs. This approach improves data privacy through the integration of AES encryption and fine-grained data deletion mechanisms; it enables efficient management of data while ensuring that owners have confidence in the removal of critical information. Experimental studies demonstrate the effectiveness and efficiency of this design compared with traditional delete methods. Specifically, this flexibility implies its many applications in cloud computing where fine-grained management and wiping out are important aspects.
S E Suresh Cloud Server, Third Party Authority, Data Deletion Scheme, Deletion Request, Verifiability Publication Details Published in : Volume 7 | Issue 2 | March-April 2024 Article Preview
Assistant Professor, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India
Singannagari Uma Pavani
Post Graduate, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India
Date of Publication : 2024-04-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 376-383
Manuscript Number : SHISRRJ247290
Publisher : Shauryam Research Institute
URL : https://shisrrj.com/SHISRRJ247290