Deep Learning-Based Anomaly Detection using Hybrid Loss.
Michael OnyekweluMingyu JangDongweon YoonPublished in: ICTC (2023)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- detecting anomalies
- unsupervised feature learning
- network intrusion detection
- anomalous behavior
- network traffic
- machine learning
- network anomaly detection
- intrusion detection system
- weakly supervised
- one class support vector machines
- negative selection algorithm
- supervised learning
- mental models
- semi supervised
- detect anomalies
- training set
- decision trees
- computer vision
- learning algorithm