Detecting air-gapped attacks using machine learning.
Weijun ZhuJoel J. P. C. RodriguesJianwei NiuQinglei ZhouYafei LiMingliang XuBohu HuangPublished in: Cogn. Syst. Res. (2019)
Keyphrases
- machine learning
- network intrusion detection systems
- machine learning algorithms
- detecting malicious
- inductive learning
- network anomaly detection
- pattern recognition
- machine learning methods
- learning tasks
- countermeasures
- data analysis
- artificial intelligence
- text mining
- knowledge acquisition
- computational biology
- explanation based learning
- learning algorithm
- text classification
- natural language processing
- active learning
- computer science
- data structure
- information extraction
- malicious attacks
- decision trees
- computer vision
- detect malicious