基于BP神经网络的船舶网络安全状态评价

Safety evaluation of ship network based on bp neural network

船舶网络是一种特殊的移动网络,面临巨大的安全隐患,传统线性船舶网络安全状态评价的偏差大,结果极不科学。为改善船舶网络安全状态评价效果,设计了基于BP神经网络的船舶网络安全状态评价方法。该方法首先分析船舶网络安全状态评价影响因素,采集船舶网络安全状态评价数据,然后将影响因素和船舶网络安全状态评价分别作为BP神经网络的输入和输出,通过BP神经网络学习,对船舶网络安全状态进行评价,最后采用VC编程实现了船舶网络安全状态评价仿真实验,结果显示BP神经网络可以区分各种船舶网络安全状态,评价准确性得到大幅度改善,同时提升了船舶网络安全状态评价效率,可以有效保证船舶网络安全。

Ship network is a special mobile network,which faces huge security risks.The deviation of traditional linear ship network security status evaluation is large and the result is very unscientific.In order to improve the effect of ship network security status evaluation,a ship network security status evaluation method based on BP neural network is designed.This method firstly analyses the influencing factors of ship network security state evaluation,collects the data of ship network security state evaluation,and then takes the influencing factors and ship network security state evaluation as the input and output of BP neural network respectively.Through BP neural network learning,the ship network security state is evaluated.Finally,VC is adopted.The simulation experiment of ship network security state evaluation is realized by programming.BP neural network can distinguish different kinds of ship network security state.The accuracy of ship network security state evaluation has been greatly improved.At the same time,the efficiency of ship network security state evaluation has been improved,which can effectively ensure the safety of ship network.