A Review Paper on Integration of Deep Learning & Data Mining Strategies

Abstract

Cloud computing plays a crucial role in data storage and online services, offering advantages such as easy access, on-demand storage, scalability, and cost efficiency. Its rapidly advancing technologies can improve the security of the Internet of Things (IoT) and Cyber-Physical Systems (CPS) against cyber threats. With the rise of sophisticated malware, traditional detection methods are often insufficient due to advanced evasion techniques. This article presents a comprehensive review of cloud-based malware detection technologies and examines the use of cloud computing to protect IoT and critical infrastructure. It assesses the benefits and drawbacks of cloud environments for malware detection and introduces a deep learning and data extraction methodology for identifying cloud-based malware. Additionally, it discusses recent research on malware propagation issues and compares various detection methods, highlighting their strengths and weaknesses. The study's findings provide valuable insights for addressing current challenges in malware research.