Subject Review: Enhancing Cyber Security through Machine Learning Model in Cloud Computing Environment

Abstract

Cloud computing (CC) has become more and more popular in environments that use distributed computing. Cloud-based processing and data storage is becoming a global trend. Perhaps might put up the effect that Software as a Service (SaaS) has on numerous commercial applications and daily lives as disruptive technology. Cloud computing (CC) is an extension of Internet-based computing, where devices can access shared software, resources, and data as required. Machine learning (ML) has become a popular tool in the area of cybersecurity (CS) through the cloud computing environment in recent years. Examples of its applications include biometric-based user authentication and the detection of malware or intrusions. However, attacks on machine learning (ML) algorithms may occur in both the testing and training phases, which typically results in significant performance reductions and safety breaches. This article provides a comprehensive study on the use of machine learning (ML) algorithms to enhance cybersecurity (CS), as well as a comparison of most of the machine learning (ML) techniques mentioned in the work. The article presents future work of previous works that help researchers find ways to improve cybersecurity.