Binary- and Multi-class Network Intrusion Detection with Adaptive Synthetic Sampling and Deep Learning.
Jehn-Ruey JiangChia-Lin LiPublished in: ICCE-TW (2021)
Keyphrases
- network intrusion detection
- deep learning
- intrusion detection
- anomaly detection
- unsupervised learning
- network intrusion
- binary and multi class
- intrusion detection system
- network traffic
- fraud detection
- machine learning
- mental models
- image segmentation
- weakly supervised
- supervised learning
- natural language processing
- dimensionality reduction
- multi class
- face recognition
- clustering algorithm
- learning algorithm
- real world
- data sets