A Novel Optimized Algorithm to Improve Data Security and Privacy in Cloud Environment

Abstract

As the number of people who rely on cloud services grows, so does the need of ensuring their data is safe.The storing of data is one of the most common applications of cloud computing. Users of cloud services have access to a vast capacity for data storage. Users may save and access their data whenever and wherever they choose, which makes it a more dependable and adaptable service. It is a kind of technology that is always expanding. These days, many businesses have begun to use cloud storage because of the various benefits it offers.Even though cloud computing is becoming more popular due to its usefulness and appeal, there are still challenges with data protection, including data security, data privacy, and other related concerns. The lack of privacy and security of data that is kept in the cloud is a significant obstacle for the development of cloud computing. Each piece of data fragmentis encrypted using a distinct hybrid security algorithm as part of this application's approach to controlling data loss based on a variety of variables. This approach is tested in a simulated private cloud that stores a significant quantity of data that includes both text and media files. When compared to the current framework, the results were much superior in terms of data size after encryption, storage duration, and data loss.We named our securing technique of data fragments as Frag-Secure.Using the existing random fragmentation technique and the non-fragmentation approach as comparison points, the performance of this proposed framework is analysed over a range of parameters. As study shows that, the suggested Frag-Secure framework performs even better than non-fragmented frameworks.