关于无线网络通信脆弱点实时提取仿真  

Real-Time Extraction Simulation of Wireless Network Communication Vulnerability

作　　者：侯春多 HOU Chun - duo(College of Humanities ＆ Sciences, Northeast Normal University, Changehun Jilin 130117, China)

机构地区：[1]东北师范大学人文学院,吉林长春130117

出　　处：《计算机仿真》2018年第6期321-324,共4页Computer Simulation

基　　金：2017年度青年教师科研资助基金项目(一般项目)(2017001)

摘　　要：对无线网络的通信脆弱点进行提取,能够提高无线网络运行的整体安全性。对无线网络通信脆弱点的实时提取,需要通过滑动窗口历史的数据对脆弱点检测,对通信脆弱点的来源进行识别与验证,完成无线网络通信脆弱点的实时提取。传统方法以通信协议的脆弱点间隔训练的观测值,扩大模型训练的样本空间,但忽略了对脆弱点来源的验证,导致提取精度偏低。提出基于多模态的数据流的通信脆弱点的检测方法。利用多模态的数据流对通信脆弱点进行检测,对网络中时空的相关性进行应用,对节点中多模态的数据流的相关性进行研究,利用滑动窗口历史的数据对通信脆弱点进行异常检测,对通信脆弱点的来源进行识别与验证,完成对无线网络通信脆弱点实时提取。实验的结果表明,所提方法能有效的对通信脆弱点进行提取,提高了脆弱点检测准确率,并提高了网络运行的安全性。Traditional extraction method for communication vulnerability of wireless network always ignores verification of vulnerability source, which leads to poor extraction precision. In order to overcome the defect, based on multi - modal data flow, a detection method for the communication vulnerability is presented. The multi - modal data flow was used to detect the communication vulnerability. Correlation of space time in network was applied. Correlation of the multi - modal data flow in node was studied. Anomaly detection was carried out for the communication vulnerability via historical data of sliding window. Identification and verification were carried out for the vulnerability source. Thus, real time extraction for the communication vulnerability was completed. Simulation results show that the method can extract the vulnerability effectively. It improves detection accuracy of the communication vulnerability and enhances security of network operation.

关 键 词：无线网络 通信脆弱点 实时提取 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]