基于FAHP和ANN的指挥自动化网络安全仿真分析  

Analysis of Command Automatic Network Security Simulation Based on FAHP and ANN

作　　者：汤自安[1] 杨晓晓[1] 孙振荣[1] 袁爽[1] 

机构地区：[1]兰州交通大学自动化与电气工程学院,兰州730070

出　　处：《火力与指挥控制》2013年第12期108-111,共4页Fire Control & Command Control

摘　　要：指挥自动化网络安全评价能够全面了解网络运行状况,及时采取防范措施,对确保指挥自动化系统发挥战斗力起至关重要的作用。从管理、环境、硬件、软件及数据等方面出发进行安全性分析,对各项指标进行专家评分。根据评分结果利用模糊层次和神经网络建立网络安全评价体系,通过神经网络存储记忆功能,快速对新数据作出响应,得出当前指挥自动化网络综合安全指数。分别对梯度下降BP算法和LMBP算法进行仿真分析,得出LMBP算法在收敛速度和较小误差方面效果更佳。Security assessment of command automation network which can comprehensively master the running status of the network and take immediate precautions playing an extremely important role on developing the combat effectiveness of the commartd automation system. The management, environment, hardware,software,data security etc and evaluation of each indicator are analyzed by expert. Fuzzy Analytical Hierarchy Process and neural network are used to build the network security evaluation system according to the score of relevant influencing factors,Comprehensive Index of Command automation network is got through the neural network＇s responding to new data immediately with associational memory function,in which the traditional BP and LMBP algorithm are respectively used. Finally through contrast and analysis of simulation results,it proves that the LMBP algorithm achieves a better effect on the rate of convergence and the accuracy.

关 键 词：指挥自动化网络 模糊层次分析法 人工神经网络 安全评价 

分 类 号：TP393.0[自动化与计算机技术—计算机应用技术]