Evaluating machine learning algorithms for intrusion detection systems using the dataset CIDDS-002.
Quang-Vinh DangPublished in: CSSE (2021)
Keyphrases
- machine learning algorithms
- intrusion detection system
- intrusion detection
- network security
- benchmark data sets
- anomaly detection
- learning algorithm
- computer networks
- network traffic
- network intrusion detection
- machine learning
- decision trees
- computer security
- learning problems
- distributed intrusion detection
- predictive accuracy
- machine learning methods
- computer systems
- random forests
- intrusion prevention
- alert correlation
- attack detection
- benchmark datasets
- network intrusion detection systems
- cyber attacks
- cyber security
- machine learning approaches
- machine learning models
- data mining
- supervised learning
- malicious activities
- neural network
- standard machine learning algorithms
- training set
- normal behavior
- security architecture
- data mining techniques
- statistical machine learning
- network intrusion
- text classification
- information security