Fog-Empowered Anomaly Detection in IoT Using Hyperellipsoidal Clustering.
Lingjuan LyuJiong JinSutharshan RajasegararXuanli HeMarimuthu PalaniswamiPublished in: IEEE Internet Things J. (2017)
Keyphrases
- anomaly detection
- intrusion detection
- anomalous behavior
- detecting anomalies
- network intrusion detection
- unsupervised learning
- network traffic
- unsupervised anomaly detection
- behavior analysis
- clustering analysis
- one class support vector machines
- intrusion detection system
- clustering algorithm
- detecting anomalous
- computer security
- detect anomalies
- neural network
- network security
- negative selection algorithm
- data assimilation
- network anomaly detection
- face recognition
- feature selection
- malware detection
- feature extraction
- pairwise
- data sets
- text classification