Detecting new obfuscated malware variants: A lightweight and interpretable machine learning approach.
Oladipo A. MadamidolaFelix NgobighaAdnane Ez-ZiziPublished in: CoRR (2024)
Keyphrases
- lightweight
- machine learning
- reverse engineering
- malicious code
- machine learning algorithms
- learning algorithm
- decision trees
- information extraction
- development environments
- machine learning methods
- detect malicious
- static analysis
- dynamic analysis
- classification rules
- control flow
- dos attacks
- malware detection
- software engineering
- wireless sensor networks
- communication infrastructure
- data mining