Traffic Anomaly Detection in Wireless Sensor Networks Based on Principal Component Analysis and Deep Convolution Neural Network.
Chengpeng YaoYu YangKun YinJinwei YangPublished in: IEEE Access (2022)
Keyphrases
- anomaly detection
- network traffic
- wireless sensor networks
- principal component analysis
- neural network
- intrusion detection
- detect anomalies
- anomalous behavior
- network intrusion detection
- intrusion detection system
- detecting anomalies
- network anomaly detection
- computer networks
- computer security
- sensor networks
- face recognition
- normal traffic
- artificial neural networks
- independent component analysis
- tensor analysis
- network security
- malware detection
- detecting anomalous
- behavior analysis
- negative selection algorithm
- unsupervised anomaly detection
- self organizing maps
- pattern recognition
- pairwise
- machine learning
- cumulative sum
- image processing
- one class support vector machines
- feature space
- probabilistic model
- dimensionality reduction
- unsupervised learning
- traffic flow
- active learning
- network intrusion
- routing protocol
- traffic patterns
- knn
- training data
- genetic algorithm
- sparse pca