首页|基于多元线性回归数学模型的通信敏感信息快速识别方法

基于多元线性回归数学模型的通信敏感信息快速识别方法

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常规的通信敏感信息识别方法以敏感词语识别为主,忽略了图片、文本、语音等通信敏感信息,影响最终的信息识别效果.因此,设计了基于多元线性回归数学模型的通信敏感信息快速识别方法.提取通信信息敏感性特征,对通信敏感信息的表现形式进行分析,相同表现形式的信息统一分类,避免信息之间的相互干扰问题.基于多元线性回归数学模型分级识别敏感文档,过滤掉意思表达不清晰或有歧义的信息,并将信息的敏感性进行合并,得到通信信息的敏感性度量,从而快速识别通信信息的敏感性分级.标注通信敏感信息识别序列,根据敏感信息的敏感性标注,赋予对应的标签作为识别序列,按照标注序列逐级识别信息,从而满足敏感信息识别的完整性需求.采用对比实验,验证了该方法的敏感信息识别精准度更高,能够应用于实际生活中.
Rapid identification method of communication-sensitive information based on the mathematical model of multiple linear regression
The conventional communication sensitive information recognition method mainly recognizes sensitive words,which ignores the communication sensitive information such as pic-tures,text and voice,and affects the final information recognition effect.Therefore,we designed a rapid identification method of communication sensitive information based on multiple linear regression mathematical model.The sensitive characteristics of communication information are extracted,the expression form of communication sensitive information is analyzed,and the in-formation of the same expression form is unified and classified to avoid the problem of mutual interference between information.Based on the multiple linear regression mathematical model,we can identify sensitive documents,filter out unclear or ambiguous information,and combine the sensitivity of information to obtain the sensitivity measure of communication information,so as to quickly identify the sensitivity classification of communication information.The identi-fication sequence of the sensitive communication information is annotated,and according to the sensitivity annotation of the sensitive information,the corresponding label is assigned as the i-dentification sequence,and the information is identified step by step according to the annotated sequence,so as to meet the integrity requirements of the sensitive information identification.The comparative experiment proves that this method is more accurate and can be applied in real life.

郑真真、段晓辉

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黄河交通学院基础教学部,河南焦作 454950

多元线性回归数学模型 通信 敏感信息 快速识别方法

2024

长江信息通信
湖北通信服务公司

长江信息通信

影响因子:0.338
ISSN:2096-9759
年,卷(期):2024.37(3)
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