Hybrid rule-based botnet detection approach using machine learning for analysing DNS traffic.
Saif Al-mashhadiMohammed AnbarIznan Husainy HasbullahTaief Alaa AlamiedyPublished in: PeerJ Comput. Sci. (2021)
Keyphrases
- machine learning
- network traffic
- anomaly detection
- knowledge acquisition
- expert systems
- learning systems
- decision trees
- ddos attacks
- detection accuracy
- detection algorithm
- artificial intelligence
- false alarms
- road network
- machine learning methods
- false positives
- detection method
- data driven
- object detection
- worm detection
- denial of service attacks
- computer science
- traffic data
- knowledge representation
- automatic detection
- learning tasks
- detection rate
- support vector machine
- active learning
- data analysis
- machine learning approaches
- explanation based learning
- rule based systems
- statistical methods
- information extraction
- supervised learning
- normal traffic
- model selection