深度神经网络的网络高敏感信息预警算法  

Early warning algorithm for highly sensitive network information based on deep neural network

作　　者：童瀛 周宇[1] 姚焕章 梁剑 薛虎 TONG Ying;ZHOU Yu;YAO Huanzhang;LIANG Jian;XUE Hu(Network Security Corps of Jiangsu Provincial Public Security Department,Nanjing 210024, China;College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China)

机构地区：[1]江苏省公安厅网安总队,江苏南京210024 [2]南京航空航天大学计算机科学与技术学院,江苏南京211106

出　　处：《西安工程大学学报》2021年第1期69-74,87,共7页Journal of Xi’an Polytechnic University

基　　金：安徽省高等学校省级科学研究一般项目(KJ2017A477)。

摘　　要：针对传统的敏感信息预警算法因难以有效聚类信息而导致预警效果较差的问题,给出了一种新的敏感信息预警算法。首先,采集网络高词频中的敏感信息,其次,通过设置合理阈值完成对高敏感信息的准确挖掘,再次,通过深度神经网络对高敏感信息展开有效聚类,构建邻接矩阵,最后,计算网络参数节点的连接平均度,结合上述聚类结果实现对高敏感信息监测和预警。实验发现,应用传统算法的网络节点发送的数据不具有规律性,且预警响应耗时均在2 s以上,而应用深度神经网络算法的网络数据呈现出全连接状态,敏感信息可表现出高度的一致性,且该算法对该敏感信息的预警响应可在1 s内完成。研究表明,基于深度神经网络的预警算法可以应用在网络安全领域。In order to solve the problem that the traditional sensitive information early warning algorithm is difficult to cluster information effectively,a new sensitive information early warning algorithm is proposed.Firstly,the sensitive information of high word frequency in the network was collected.Secondly,the accurate mining of high sensitive information was completed by setting a reasonable threshold.Thirdly,the high sensitive information was effectively clustered by deep neural network,and the adjacency matrix was constructed.Finally,the connection average of network parameter nodes was calculated.Combined with the above clustering results,the monitoring and early warning of high sensitive information were realized.The experimental results showed that the data sent by the network nodes using the traditional algorithm was not regular,and the warning response time was more than 2 s,while the network data using the deep neural network algorithm presents a fully connected state,and the sensitive information could show a high degree of consistency,and the warning response of the algorithm to the sensitive information could be completed in 1 s.The research shows that the early warning algorithm based on deep neural network can be applied in the field of network security.

关 键 词：深度神经网络 高敏感信息 网络预警 数据聚类 邻接矩阵 节点连接平均度 预警响应 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]