现代电子技术2016，Vol.39Issue(20)：57-60,4.DOI:10.16652/j.issn.1004-373x.2016.20.015
基于4G/GPRS的大型传感网络脆弱点预判挖掘系统设计
Design of 4G/GPRS-based prediction mining system of vulnerabilities in large sensor network
摘要
Abstract
In view of the problems existing in mining the vulnerabilities in the sensor network,which make weak point min⁃ing analysis inaccurate and lead to poor mining efficiency to predict vulnerabilities,a new design method of prediction mining system for vulnerable points in large sensor networks is put forward. The dynamic change of sensor information is monitored in real time through the sensor control unit in large sensor networks. The vulnerabilities data detecting unit of sensing network is used to detect the vulnerability information of each sensor in the large sensor network,and send this information to the main con⁃trol center through 4G/GPRS network transmission module. The main control center completes the task for information collection of sensor network vulnerabilities,which is analyzed by the vulnerable point forecasting algorithm module,and performs alarm and control according to the sensor network vulnerabilities signal. The 89C51 microprocessor module is adopted to achieve vul⁃nerabilities information processing and transmission between the sensor control unit of sensor network and the control center to ensure that the control center can query sensing network vulnerabilities information at any time. In the process of software de⁃sign,the prediction mining process of sensor network vulnerabilities was analyzed,the flow chart for vulnerabilities acquisition of the system was drawn,and the design of database access code for vulnerabilities mining was realized. The experimental re⁃sults shows that the system has good performance,simple operation and high mining precision.关键词
大型传感网络/脆弱点预判/预判挖掘/软件设计Key words
large sensor network/vulnerability prediction/predicting mining system/software design分类
信息技术与安全科学引用本文复制引用
孙媛..基于4G/GPRS的大型传感网络脆弱点预判挖掘系统设计[J].现代电子技术,2016,39(20):57-60,4.基金项目
河南大学濮阳工学院自然科学研究项目（2015PYZYZR09）；河南大学濮阳工学院教育科研研究项目 （）
