Enhancing Security in Cloud Computing with Anomaly Detection Using Machine Learning (original) (raw)

Tuijin Jishu/Journal of Propulsion Technology

Cloud computing has become an integral part of modern business operations, offering unprecedented scalability, cost-effectiveness, and agility. However, the widespread adoption of cloud services has also raised significant security concerns. This paper addresses the imperative need for enhancing security in cloud computing environments through the application of anomaly detection techniques powered by machine learning. The ubiquity of cloud computing has ushered in a new era of digital transformation, enabling organizations to streamline operations and achieve unprecedented efficiency. Nevertheless, the dynamic nature of the cloud, coupled with the evolving threat landscape, has exposed organizations to a spectrum of security challenges. These challenges encompass data breaches, insider threats, and vulnerabilities inherent to the shared responsibility model, which necessitates a collaborative approach between cloud service providers (CSPs) and customers. Anomaly detection, a key fa...