MFGAN: Multimodal Fusion for Industrial Anomaly Detection Using Attention-Based Autoencoder and Generative Adversarial Network.
Xinji QuZhuo LiuChase Q. WuAiqin HouXiaoyan YinZhulian ChenPublished in: Sensors (2024)
Keyphrases
- anomaly detection
- network traffic
- network anomaly detection
- intrusion detection
- detect anomalies
- network intrusion
- anomalous behavior
- network intrusion detection
- intrusion detection system
- detecting anomalies
- unsupervised learning
- computer networks
- one class support vector machines
- normal behavior
- intrusion prevention
- negative selection algorithm
- multimodal fusion
- network security
- neural network
- normal traffic
- multimedia
- data analysis