A Novel Cloud Computing data security method based on genetics approaches and logical mathematical functionalities

Resumen

Cloud computing is an important part of the IT sector since it allows users to access services
from anywhere on the planet. As the need for and popularity of cloud computing grows, so
does the number of threats and vulnerabilities. Data integrity and privacy are critical concerns
in cloud computing, and they must be considered because data is kept in multiple locations.
As a result, the most important causes of users' concerns about the cloud computing
environment are data integrity and privacy protection safeguards. The most important method
for data protection is encryption. As a result, a variety of encryption techniques are utilized to
offer security, integrity, and permitted access utilising a variety of mechanisms, including
DNA. They do, however, have some limits. This study's investigation revealed cloud data
security issues, cloud attacks, and found vulnerabilities for many elements affecting cloud
computing. The goal of this analysis is to look at the many components of cloud computing
as well as current significant security and security challenges. In addition, this article
discussed a variety of security concerns, as well as some novel security concepts and
mitigation strategies, as well as future directions.
The outcomes of the experiment improved data security, which can be utilised to safeguard
cloud computing applications. The testing findings of the suggested algorithm showed a high
level of security, as well as an apparent increase in cipher size and execution time when
compared to existing cloud computing solutions.