A Review of Malware Detection Applications and Research

Malware, as one of the main threats to computer systems and network security, is constantly evolving and growing, causing serious impacts on individual users, business organizations, and national security. This review summarizes and sorts out the current research status in the field of malware detection, focusing on the file structure, common types of malware, malware camouflage techniques, common analysis methods and techniques for malware detection, including feature based static analysis, dynamic analysis, machine learning methods, etc. Furthermore, this article discusses the methods and applications of malware detection, and analyzes some methods and ideas for detecting malware based on different features. Through the review of this article, readers can comprehensively understand the current status and development trends of malware detection, providing reference and guidance for improving network security protection capabilities.