Standalone noise and anomaly detection in wireless sensor networks: A novel time-series and adaptive Bayesian-network-based approach.
Mahmood SafaeiAbul Samad IsmailHassan ChizariMaha DrissWadii BoulilaShahla AsadiMitra SafaeiPublished in: Softw. Pract. Exp. (2020)
Keyphrases
- anomaly detection
- wireless sensor networks
- bayesian networks
- detect anomalies
- intrusion detection
- network intrusion detection
- detecting anomalies
- anomalous behavior
- unsupervised anomaly detection
- computer security
- one class support vector machines
- network traffic
- behavior analysis
- sensor networks
- network anomaly detection
- detecting anomalous
- intrusion detection system
- network security
- unsupervised learning
- cumulative sum
- malware detection
- connectionist systems
- genetic algorithm
- negative selection algorithm
- machine learning
- feature space
- text mining
- graphical models