ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach.
Konstantinos SotiropoulosLingxiao ZhaoPierre Jinghong LiangLeman AkogluPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- neural network
- metadata
- intrusion detection
- anomalous behavior
- detecting anomalies
- network traffic
- network intrusion detection
- intrusion detection system
- computer security
- artificial neural networks
- pattern recognition
- network anomaly detection
- negative selection algorithm
- detecting anomalous
- network security
- behavior analysis
- one class support vector machines
- detect anomalies
- unsupervised anomaly detection
- unsupervised learning
- databases
- malware detection
- genetic algorithm