Anomaly graph: leveraging dynamic graph convolutional networks for enhanced video anomaly detection in surveillance and security applications.
V. Rahul ChiranjeeviD. MalathiPublished in: Neural Comput. Appl. (2024)
Keyphrases
- anomaly detection
- dynamic graph
- intrusion detection
- computer security
- network security
- edge weights
- behavior analysis
- detecting anomalies
- intrusion detection system
- video surveillance
- malware detection
- anomalous behavior
- network traffic
- network intrusion detection
- video sequences
- information security
- temporal sequences
- video data
- computer networks
- one class support vector machines
- detect anomalies
- bipartite graph
- intrusion prevention
- directed graph
- social networks
- computer vision
- misuse detection
- network structure
- surveillance system
- unsupervised learning
- random walk
- anomaly based intrusion detection