An investigation and comparison of machine learning approaches for intrusion detection in IoMT network.
Adel BinbusayyisHaya AlaskarThavavel VaiyapuriM. DineshPublished in: J. Supercomput. (2022)
Keyphrases
- intrusion detection
- machine learning approaches
- network traffic
- network intrusion
- intrusion detection system
- network attacks
- intrusion prevention
- network intrusion detection
- computer networks
- anomaly detection
- network traffic data
- network security
- machine learning methods
- intrusion detection and prevention
- machine learning
- machine learning algorithms
- worm detection
- network intrusions
- alert correlation
- high detection rate
- detecting anomalous
- artificial immune
- network intrusion detection systems
- distributed intrusion detection
- normal behavior
- cyber security
- computer security
- information security
- data mining
- fraud detection
- dos attacks
- text classification
- feature extraction
- feature selection
- databases
- data sets