ZMAD: Lightweight Model-Based Anomaly Detection for the Structured Z-Wave Protocol.
Carlos Nkuba KayembeSeunghoon WooHeejo LeeSven DietrichPublished in: IEEE Access (2023)
Keyphrases
- lightweight
- anomaly detection
- intrusion detection
- anomalous behavior
- detecting anomalies
- intrusion detection system
- behavior analysis
- detecting anomalous
- network intrusion detection
- unsupervised anomaly detection
- network traffic
- network anomaly detection
- authentication protocol
- one class support vector machines
- network security
- development environments
- negative selection algorithm
- connectionist systems
- unsupervised learning
- network intrusion
- communication infrastructure
- detect anomalies
- dos attacks
- computer networks
- data mining