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