通信学报2011，Vol.32Issue(2)：150-158,9.
基于改进BP神经网络的ATM系统信息安全评估方法
Approach of information security assessment for ATM system based on improved BP model of artificial neural network
摘要
Abstract
ATM system was divided into 3 layers for the purpose of evaluating its information security.An evaluation model was proposed by using a 3-layer artificial neural network (ANN) based on improved BP model.The major information security indicators of ATM system were used as the training samples, which were adapted to find the intrinsic links between the input and output by learning and training process.An experiment was conducted by using the well-trained ANN network to evaluate the security of ATM system.The experimental results show that the proposed ANN evaluation model can indicate the practical running status of ATM system precisely.It is highly adaptive and fault-tolerant.关键词
人工神经网络/空中交通管理/安全评估/评估模型/BP算法Key words
artificial neural network/ air traffic management/ security assessment/ evaluation model/ BP algorithm分类
信息技术与安全科学引用本文复制引用
吴志军,王璐,史荣..基于改进BP神经网络的ATM系统信息安全评估方法[J].通信学报,2011,32(2):150-158,9.基金项目
国家自然科学基金委员会与中国民用航空总局联合基金资助项目(60776808) （60776808）
天津市应用基础及前沿技术研究计划基金资助项目(09JCYBJC00400) （09JCYBJC00400）
2010年度中央高校基本科研业务费中国民航大学专项(ZXH2010B004) （ZXH2010B004）
