Deep Learning in IoT Intrusion Detection.
Stefanos TsimenidisThomas LagkasKonstantinos RantosPublished in: J. Netw. Syst. Manag. (2022)
Keyphrases
- deep learning
- intrusion detection
- unsupervised learning
- anomaly detection
- intrusion detection system
- unsupervised feature learning
- machine learning
- network security
- network traffic
- network intrusion detection
- high detection rate
- network intrusion
- detecting anomalous
- data mining
- mental models
- data mining techniques
- weakly supervised
- information security
- object detection
- cloud computing
- fraud detection
- information retrieval
- data sets
- text mining
- network attacks
- outlier mining
- real world