A state-of-the-art survey of malware detection approaches using data mining techniques | Human-centric Computing and Information Sciences | Full Text
A learning model to detect maliciousness of portable executable using integrated feature set - ScienceDirect
4. Methodology for Building Data Mining Detection Models
Data Mining Classification Approaches for Malicious Executable File Detection - Document - Gale Academic OneFile
PDF] Data mining methods for detection of new malicious executables | Semantic Scholar
GitHub - shreyansh26/ELF-Miner: An implementation of the paper "ELF-Miner: Using Structural Knowledge and Data Mining Methods To Detect New (Linux) Malicious Executables"
A Data Mining Classification Approach for Behavioral Malware Detection
Electronics | Free Full-Text | Separating Malicious from Benign Software Using Deep Learning Algorithm
JCP | Free Full-Text | A Survey of the Recent Trends in Deep Learning Based Malware Detection
Malware Detection in Executables Using Neural Networks | NVIDIA Technical Blog
A static heuristic approach to detecting malware targets - Zakeri - 2015 - Security and Communication Networks - Wiley Online Library
PDF] A Static Malware Detection System Using Data Mining Methods | Semantic Scholar
PDF] A survey of data mining techniques for malware detection using file features | Semantic Scholar
The Data Blog | A blog about data mining, data science, machine learning and big data, by Philippe Fournier-Viger | Page 4
PDF] Data mining methods for detection of new malicious executables | Semantic Scholar
41 A Survey on Malware Detection Using Data Mining Techniques