Vulnerability detection through machine learning-based fuzzing: A systematic review.
Sadegh Bamohabbat ChafjiriPhil LeggJun HongMichail-Antisthenis I. TsompanasPublished in: Comput. Secur. (2024)
Keyphrases
- systematic review
- machine learning
- empirical studies
- machine learning and data mining
- explanation based learning
- feature selection
- detection algorithm
- data mining
- learning algorithm
- automatic detection
- event detection
- machine learning methods
- detection accuracy
- transfer learning
- false positives
- machine learning algorithms
- detection method
- semi supervised learning
- knowledge acquisition
- neural network
- artificial intelligence
- object detection
- active learning
- website
- model selection
- case study
- reinforcement learning
- detection scheme
- computer vision
- false alarms
- inductive learning
- natural language
- data analysis
- evolutionary algorithm
- natural language processing
- text mining
- database