Enhancing Anomaly Detection in Agricultural IoT Systems through Incremental Learning with Spike Neural Networks.
Dongyang HuoKadhim HayawiAsad Waqar MalikSri Devi RavanaPublished in: HICSS (2024)
Keyphrases
- anomaly detection
- incremental learning
- connectionist systems
- intrusion detection
- neural network
- fuzzy artmap
- network intrusion detection
- anomalous behavior
- detecting anomalies
- neural learning
- computer security
- network traffic
- behavior analysis
- unsupervised anomaly detection
- network anomaly detection
- one class support vector machines
- intrusion detection system
- supervised learning
- detect anomalies
- negative selection algorithm
- network security
- genetic algorithm
- data sets
- back propagation
- computer systems
- natural language processing
- pairwise
- pattern recognition
- incremental learning algorithm
- feature selection
- detecting anomalous