A Comprehensive Experimentation on Security-Conserving Storage Verifications and Data Dynamics Over Cloud Storage Environment
K. Sravan Abhilash, M Vasudevan, M. Jayaprakash, C. Anitha, Kavitha Karthikeyan, Soujanya Maisa · 2024
As an IT firm moves into the future, cloud computing is quickly becoming the standard. The data centre serves as a centralized server from which data may be accessed. Businesses are quickly moving their operations to the cloud in order to take use of the most efficient resources. Both data dynamic operation and public verifiability at a single instance are supported by the current technologies. Instead of involving the client in auditing to detect cloud-stored data, the suggested approach takes into account the duty of a third-party auditor to guarantee the data's integrity. Data operations for inserting, deleting, and modifying data on the block are provided by data dynamics. A novel cloud data enrichment technique dubbed Advanced Cipher based Data Dynamics and Storage Model (ACDDSM) is presented to avoid the flaws in the previous system. To clearly assess the suggested model's performance, it is cross-validated with the traditional Rivest, Shamir, and Adleman (RSA) method. One possible solution to this issue is a cloud server. Managing storage on a grand scale is within its capabilities. But since it is a third-party service, data security is a concern. Strong encryption methods can be used to safeguard data from the cloud server. We must first distinguish between sensitive and non-sensitive data in order to implement appropriate data security measures. Prioritizing sensitive data above potential dangers is essential. Finding valuable information within a reasonable amount of time to compute is the main topic of this research.