On the Evaluation and Deployment of Machine Learning Approaches for Intrusion Detection.
Felix HeineTim LaueCarsten KleinerPublished in: IEEE BigData (2020)
Keyphrases
- intrusion detection
- machine learning approaches
- intrusion detection system
- anomaly detection
- network security
- network intrusion
- network traffic
- network intrusion detection
- machine learning
- machine learning methods
- machine learning algorithms
- detecting anomalous
- false positives and false negatives
- computer security
- high detection rate
- artificial immune
- data mining methods
- fraud detection
- data mining
- intrusion detection and prevention
- network intrusion detection systems
- alert correlation
- data mining techniques
- cyber security
- object recognition
- data analysis