Intrusion Detection in Network Systems Through Hybrid Supervised and Unsupervised Machine Learning Process: A Case Study on the ISCX Dataset.
Saeid Soheily-KhahPierre-Francois MarteauNicolas BéchetPublished in: ICDIS (2018)
Keyphrases
- intrusion detection
- intrusion prevention
- network traffic
- intrusion detection system
- network intrusion
- network intrusion detection systems
- anomaly detection
- network attacks
- network security
- network traffic data
- network intrusion detection
- learning process
- unsupervised learning
- computer networks
- semi supervised
- cyber attacks
- power grids
- supervised learning
- learning algorithm
- detecting anomalous
- artificial immune
- network intrusions
- high detection rate
- unsupervised anomaly detection
- computer security
- information security
- intrusion detection and prevention
- network monitoring
- outlier mining
- power grid
- data mining techniques
- training data
- data mining
- worm detection
- data sets
- distributed intrusion detection
- alert correlation
- cyber security
- routing protocol
- pairwise