On the feasibility of adversarial machine learning in malware and network intrusion detection.
Andrea VenturiClaudio ZanasiPublished in: NCA (2021)
Keyphrases
- network intrusion detection
- machine learning
- network anomaly detection
- intrusion detection
- anomaly detection
- network intrusion
- fraud detection
- intrusion detection system
- artificial immune
- malware detection
- data mining
- computer security
- network traffic
- learning algorithm
- network traffic data
- network attacks
- computer vision
- feature selection
- text classification
- decision trees
- information extraction
- information systems
- data analysis
- knowledge discovery
- network security
- supervised learning
- semi supervised learning
- unsupervised learning
- information security
- pattern recognition
- reinforcement learning
- data processing
- model selection