A Deep Learning-Based Intrusion Detection Technique for a Secured IoMT System.
Joseph Bamidele AwotundeMoses Kazeem AbiodunEmmanuel Abidemi AdeniyiSakinat Oluwabukonla FolorunsoRasheed Gbenga JimohPublished in: ICIIA (2021)
Keyphrases
- intrusion detection
- deep learning
- information security
- intrusion detection system
- anomaly detection
- unsupervised learning
- unsupervised feature learning
- network security
- machine learning
- detecting anomalous
- network traffic
- network intrusion detection
- high detection rate
- data mining
- weakly supervised
- mental models
- fraud detection
- data mining techniques
- real world
- alert correlation
- network intrusions
- text classification
- dimensionality reduction
- object recognition
- network intrusion
- reinforcement learning