Anomaly traffic detection in IoT security using graph neural networks.
Mengnan GaoLifa WuQi LiWei ChenPublished in: J. Inf. Secur. Appl. (2023)
Keyphrases
- neural network
- anomaly detection
- intrusion detection
- network traffic
- detect anomalies
- security problems
- network security
- detection method
- network monitoring
- key management
- information security
- pattern recognition
- management system
- real time
- false alarms
- graph representation
- detection algorithm
- artificial neural networks
- computer security
- malware detection
- internet traffic
- security issues
- access control
- structured data
- network layer
- internet service providers
- fuzzy logic
- security requirements
- traffic flow
- false positives
- denial of service attacks
- bipartite graph
- intrusion detection system
- selecting a small number
- cyber security
- security mechanisms
- network management
- security policies
- directed acyclic graph
- graph theory
- directed graph
- face detection
- genetic algorithm