Innovative Mechanisms for Improving Cloud Data Safety During Cyber Threats

It is clear that cloud use is growing quickly across a number of different companies and institutions. Cloud data storage is one of the many benefits of cloud computing that is most noticeable. Under this paradigm, data owners choose to store most of their data on cloud services instead of own servers. The sensitivity of the data and the need for prompt information processing make cloud security an essential factor to take into account. In order to improve data security and confidentiality, this study presents a novel security architecture. Data is arranged into blocks of bits under the suggested security architecture. Every two bits, a genetic algorithm is implemented as part of a revolutionary security architecture that segments these bits. Every time the genetic algorithm runs, a ciphertext made up of two-bit blocks is produced. Interestingly, every ciphertext has a unique home in a different part of the cloud, and its location is always changing, making it difficult for any enemies to figure out where it is. Furthermore, one important way that genetic algorithms support data security is by not requiring the presence of a fundamental idea. Using evolutionary algorithms on lower block sizes, the new architecture strengthens security measures even more. The capability list is an essential part of this system that provides extra tools for safe and fine-grained data access.

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