Application of Automatic Detection Technology in Anomaly Data Detection of Communication Networks
A new automatic detection technique based on long short-term memory network and adaptive threshold update strategy is proposed to improve the accuracy of abnormal data detection in communication networks.This technology utilizes LSTM network to model and extract features from time series data,and identifies abnormal events through anomaly score mapping.At the same time,an adaptive threshold update strategy is introduced to dynamically adjust the anomaly determination threshold to adapt to changes in data distribution.The results indicate that the proposed technology outperforms the baseline method in evaluation metrics such as accuracy,providing strong technical support for building a secure and trustworthy communication network environment.
万方数据
维普
