An Real Time Cloud Security System and Issues comparison using Machine and Deep Learning

Abstract

Cloud security is an essential parameter in all technologies. Moreover, today’s life is majorly dependent on cloud-related applications. In the past decades, mini-applications are used to balancing the security too valuable information. Due to a lack of security issues, the discussed application is unable to providing robust security to data. Therefore, artificial intelligence, machine learning, and deep learning techniques are required to fulfill the above provisions. In this research paper, cloud security issues and various attacks like malware, phishing, credential stuffing and etc. are discussed with the machine and deep learning techniques. Finally, the performance measures such as accuracy, robust score, sensitivity, F1 score, and recall have been analyzed for future cloud security techniques.