An investigation of the Intrusion detection system for the NSL-KDD dataset using machine-learning algorithms.
Yazan Alaya Al-KhassawnehPublished in: eIT (2023)
Keyphrases
- machine learning algorithms
- intrusion detection
- nsl kdd
- intrusion detection system
- benchmark data sets
- network security
- machine learning
- learning algorithm
- network intrusion detection
- predictive accuracy
- network traffic
- computer networks
- machine learning methods
- anomaly detection
- learning problems
- decision trees
- machine learning approaches
- distributed intrusion detection
- machine learning models
- information security
- random forests
- data mining
- data mining techniques
- learning models
- alert correlation
- machine learning systems
- network traffic data
- attack detection
- misuse detection
- databases
- information systems
- random forest
- access control
- reinforcement learning
- object recognition
- database
- active learning
- probabilistic model
- standard machine learning algorithms
- natural language processing