A Comprehensive Analysis of Machine Learning-Based Intrusion Detection System for IoT-23 Dataset.
Yang G. KimKazi J. AhmedMyung J. LeeKazuya TsukamotoPublished in: INCoS (2022)
Keyphrases
- comprehensive analysis
- intrusion detection system
- machine learning
- intrusion detection
- network security
- distributed intrusion detection
- computer networks
- anomaly detection
- network intrusion detection
- network traffic data
- network traffic
- data mining
- attack detection
- pattern recognition
- computer systems
- database
- active learning
- data mining techniques
- intrusion prevention
- learning algorithm
- alert correlation
- misuse detection
- cloud computing
- text classification
- reinforcement learning
- big data
- computer vision
- knowledge discovery
- cyber security
- information security
- high dimensional
- model selection
- supervised learning
- probabilistic model