Strengthening Cloud Computing Security: A Malware Prevention and Detection Framework at the Hypervisor Level

Abstract The introduction outlines the significance of data storage and management in businesses and highlights the cost-effectiveness of data outsourcing, particularly in the context of cloud computing. It emphasizes the benefits and challenges of cloud computing, with a focus on security concerns related to malware threats. The proposed malware prevention and detection (MP&D) framework aims to address these challenges by providing a comprehensive set of processes and tools to secure virtual machines in cloud computing environments. The framework’s objectives include large-scale system management, identifying various attacks, early detection, rapid and accurate detection, scalability, and resistance to compromise. The section also mentions the prevalence of encrypted and modern malware, which poses additional challenges. The background procedures and tools for the MP&D framework are briefly outlined, along with a high-level algorithmic overview of its key components. The expected results of implementing the framework are discussed, highlighting improvements in security posture, reduced malware infections, early threat detection, faster incident response, and compliance benefits. The conclusion underscores the importance of robust security measures in cloud computing, particularly at the hypervisor level, and acknowledges the evolving nature of malware threats, indicating the need for ongoing research and development in this field.