GRENZE International Journal of Engineering and Technology
Vol. 12
(2026), Issue 2
Intelligent Security Management in Cloud Computing using Machine Learning
Authors
Anand Vardhan Pandey, Radhika Garg, Ankit Kumar Maurya, Aman Raj, Arun Kumar Singh, Arjun Singh
Abstract
With the increase in the usage of cloud computing rapidly, it is the necessity to save the data from any target or attack. The emergence of the cloud computing raised Security issues for both industry and the consumer. Some of the companies are investing in this domain for their personal use and some for providing service in the same domain. Machine learning techniques is used in many ways to prevent and detect attacks on cloud server. As the growth of machine learning techniques learning based method for the software application is gaining high popularity in this era. In this paper, we provide a literature review on the use of machine learning in increasing cloud security and the application along with the ways to prevent the security of cloud computing. We will also evaluate the related studies and discuss their performance. This review and the key findings of this paper have the ability to contribute to more improvements in cloud computing and security issues with the machine-learning algorithm. It will help other researcher to give new ideas in this field so that new ideas can be executed which will help in finding the safe methods to access cloud computing based applications and avoid any security issue in the future.
Pages:
2259 - 2263