An Empirical Study on the Effects of Obfuscation on Static Machine Learning-Based Malicious JavaScript Detectors.
Kunlun RenWeizhong QiangYueming WuYi ZhouDeqing ZouHai JinPublished in: ISSTA (2023)
Keyphrases
- machine learning
- knowledge acquisition
- object detection
- learning tasks
- open source
- detecting malicious
- data transformation
- machine learning methods
- data analysis
- feature selection
- dynamic analysis
- pattern recognition
- text mining
- web applications
- machine learning algorithms
- website
- learning algorithm
- computational intelligence
- artificial intelligence
- static analysis
- reverse engineering
- learning systems
- intrusion detection
- inductive learning
- model selection
- case study
- reinforcement learning
- information extraction
- active learning