| 基于快速时域关联规则发现算法的政务系统独立通信层信号安全检测模型 |
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| 引用本文：韩建良.基于快速时域关联规则发现算法的政务系统独立通信层信号安全检测模型[J].计算技术与自动化,2024,(2):156-161 |
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| 中文摘要:以保障政务系统通信传输安全为目的，设计基于快速时域关联规则发现算法的政务系统独立通信层信号安全检测模型。该模型通过计算政务系统独立通信信道频率响应，使用Anritsu信号分析仪采集独立通信层信号信息并进行归一化处理和平衡化预处理；利用快速时域关联规则得到独立通信层信号数据之间的关联规则，描述异常信号与正常信号之间的关系；经过网络迭代，依据独立通信层信号数据之间的关联规则输出其正常信号和异常信号类别，完成政务系统独立通信层信号安全检测。实验表明：该模型具备较强的信号采集能力、信号数据预处理能力以及信号安全检测能力，应用效果较佳。 |
| 中文关键词:快速时域 关联规则 政务系统 独立通信层 信号安全检测 深度学习 |
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| Signal Security Detection Model of Independent Communication Layer in Government Affairs System Based on Fast Time-domain Association Rule Discovery Algorithm |
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| Abstract:In order to ensure the security of communication and transmission in government system, a signal security detection model of independent communication layer in government system based on fast time domain association rule discovery algorithm is designed. The model calculates the frequency response of the independent communication channel of the government system, uses Anritsu signal analyzer to collect the signal information of the independent communication layer, and carries out normalization and balance preprocessing. The association rules between independent communication layer signal data are obtained by using fast time domain association rules to describe the relationship between abnormal signals and normal signals. After network iteration, the normal signal and abnormal signal categories are output according to the association rules between the signal data of the independent communication layer, and the signal security detection of the independent communication layer of the government system is completed. The experiment shows that the model has strong signal acquisition ability, signal data preprocessing ability and signal safety detection ability, and the application effect is better. |
| keywords:fast time domain association rules government affairs system independent communication layer signal safety detection deep learning |
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