In the current era of big data,ensuring network security and stability is of paramount importance for maintai-ning the overall health of networks.Prompt detection of network anomalies has become particularly urgent.To address this,a network anomaly detection model based on the combination of network telescope technology and long short-term memory(LSTM)neural networks is proposed.Through the experimental validation on recent captured Internet traffic in a specific region of China,the results demonstrate the efficacy of the proposed method in detecting network attacks of varying degrees.
network anomaliesanomaly detectionnetwork telescopesdeep networksbig data
万方数据
维普
