A novel Machine Learning-based approach for the detection of SSH botnet infection.
José Tomás Martínez GarreManuel Gil PérezAntonio Ruiz-MartínezPublished in: Future Gener. Comput. Syst. (2021)
Keyphrases
- machine learning
- automatic detection
- detection method
- data mining
- false alarms
- false positives
- object detection
- detection accuracy
- detection algorithm
- peer to peer
- sir model
- decision trees
- detection scheme
- computer vision
- learning problems
- change detection
- machine learning methods
- feature selection
- anomaly detection
- network traffic
- learning tasks
- information systems
- data sets
- explanation based learning
- text classification
- natural language processing