基于BP神经网络的战场网络攻击效能评估  

Evaluation of Battlefield Network Attacking Based on BP Neural Network

作　　者：史军涛[1] 周铭[2] 张振坤[3] 

机构地区：[1]空军雷达学院研究生管理大队,武汉430019 [2]空军雷达学院五系,武汉430019 [3]湖北青年职业学院,武汉430079

出　　处：《空军雷达学院学报》2012年第2期127-129,共3页Journal of Air Force Radar Academy

摘　　要：战场网络攻击效能评估是网络攻击研究的重要内容.为了评估战场网络攻击效能,构建了战场网络攻击能力评估指标体系,提出了基于BP神经网络的评估方法,给出了构造样本的方法,并用构造的样本对BP神经网络进行训练,最后利用Matlab软件对该网络进行了仿真.通过与模糊综合评判法得出的评估结果相比较,验证了该方法的有效性.该方法减少了评估中人为因素的影响,使评估结果更可信.The effectiveness evaluation of battlefield network attack is key part in the network attack research. To evaluate battlefield network attack effectiveness, this paper sets up the capacity evaluation index system of network attack, proposes the assessment method based on BP neural network, gives the method for constructing samples and carries out the training for BP neural network, and finally simulates the network using Matlab. The availability of this proposed method is verified by comparing the evaluation results of the fuzzy comprehensive approach, and it reduces the impact of the human factors, making the evaluation results more reliable.

关 键 词：战场网络攻击 BP神经网络 效能评估 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]