Towards trustworthy cybersecurity operations using Bayesian Deep Learning to improve uncertainty quantification of anomaly detection.
Tengfei YangYuansong QiaoBrian LeePublished in: Comput. Secur. (2024)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- detecting anomalies
- network intrusion detection
- network anomaly detection
- anomalous behavior
- machine learning
- one class support vector machines
- network traffic
- intrusion detection system
- detect anomalies
- maximum likelihood
- feature vectors
- maximum entropy
- higher order
- bayesian networks
- learning algorithm
- neural network
- negative selection algorithm
- unsupervised feature learning