A Machine Learning Approach to Anomaly Detection Based on Traffic Monitoring for Secure Blockchain Networking.
Jinoh KimMakiya NakashimaWenjun FanSimeon WuthierXiaobo ZhouIkkyun KimSang-Yoon ChangPublished in: IEEE Trans. Netw. Serv. Manag. (2022)
Keyphrases
- anomaly detection
- traffic monitoring
- intrusion detection
- intrusion prevention
- video surveillance
- monitoring system
- detecting anomalies
- motion detection
- moving object detection
- anomalous behavior
- network traffic
- network intrusion detection
- real time
- network anomaly detection
- background subtraction
- intrusion detection system
- one class support vector machines
- surveillance system
- unsupervised learning
- detect anomalies
- negative selection algorithm
- similarity measure
- model selection
- hidden markov models
- feature space
- reinforcement learning
- computer vision