Traffic Verification for Network Anomaly Detection in Sensor Networks

摘要: Abstract The traffic that is being injected to the network increasing every day. It can be either normal or anomalous. Anomalous variation in communication pattern from one and hence anomaly detection an important procedure ensuring resiliency. Probabilistic models used model for detection. In this paper, we use Gaussian Mixture Model verification. captured given Traffic which obeys those disobey are anomalies. Analysis shows proposed system has better performance terms of delay, throughput packet delivery ratio