Towards Real-Time Deep Learning-Based Network Intrusion Detection on FPGA.
Laurens Le JeuneToon GoedeméNele MentensPublished in: ACNS Workshops (2021)
Keyphrases
- network intrusion detection
- deep learning
- anomaly detection
- unsupervised learning
- intrusion detection
- network intrusion
- unsupervised feature learning
- intrusion detection system
- fraud detection
- network traffic
- machine learning
- weakly supervised
- data mining techniques
- training data
- data sets
- dimensionality reduction
- text mining
- principal component analysis
- image segmentation