Abnormal Network Traffic Detection Based on Small Sample Learning
The high complexity of network structure leads to various abnormal traffic phenomena,in-cluding some new abnormal traffic types with few labeled samples.In order to effectively identify the abnormal situations with few labeled samples,an abnormal network traffic detection method based on small sample learning is designed.The method uses the transfer learning technology based on small samples to identify the abnormal traffic.Thus,it can ensure the network security.
small sampletransfer learningabnormal network traffic
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