Hybrid Anomaly Detection using K-Means Clustering in Wireless Sensor Networks.
Mohammad WazidPublished in: IACR Cryptol. ePrint Arch. (2014)
Keyphrases
- anomaly detection
- wireless sensor networks
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- unsupervised anomaly detection
- network traffic
- behavior analysis
- computer security
- sensor networks
- intrusion detection system
- detecting anomalous
- malware detection
- detect anomalies
- one class support vector machines
- negative selection algorithm
- unsupervised learning
- machine learning
- network intrusion
- network anomaly detection
- data analysis
- cumulative sum
- connectionist systems
- pairwise
- network security
- maximum entropy