Black box attack and network intrusion detection using machine learning for malicious traffic.
Yiran ZhuLei CuiZhenquan DingLun LiYongji LiuZhiyu HaoPublished in: Comput. Secur. (2022)
Keyphrases
- black box
- network intrusion detection
- malicious traffic
- network traffic
- machine learning
- network anomaly detection
- network intrusion
- anomaly detection
- intrusion detection
- normal traffic
- intrusion detection system
- network intrusions
- black boxes
- detection mechanism
- computer networks
- network security
- network attacks
- traffic patterns
- white box
- network management
- test cases
- fraud detection
- data mining
- decision trees
- support vector machine
- traffic data
- learning algorithm
- feature selection
- multi class
- semi supervised
- training set
- object recognition
- unsupervised learning
- traffic flow
- computer systems
- supervised learning
- data analysis
- ip addresses
- real world
- dos attacks