Feature Engineering for Malware Detection: Identifying Crucial Static and Dynamic Characteristics from Data to Train Effective Models
Feature Engineering for Malware Detection: Identifying Crucial Static and Dynamic Characteristics from Data to Train Effective Models
John Owen
0 Citations
TLDR
This paper presents a comprehensive overview of feature engineering techniques for malware detection, exploring both static and dynamic analysis approaches, and explores various feature representation and encoding methods, to ensure optimal model input.