摘要
为提高电力监控网络信息的传输速率,提出基于反向传播(Back Propagation,BP)神经网络的电力监控网络信息安全传输方法。首先,联合特征辨识方法,融合电力监控网络端信息;其次,基于BP神经网络,对电力监控网络信息进行防御加密;最后,交换电力监控网络层间的信息,完成安全传输。实验结果表明,该方法具有传输速率高、传输距离远、受攻击时误比特率极低等优点,能够确保信息传输的安全性。
In order to improve the transmission rate of power monitoring network information,a secure transmission method based on Back Propagation(BP)neural network is proposed.Firstly,the combined feature identification method fuses the information of power monitoring network.Secondly,based on BP neural network,the information of power monitoring network is protected and encrypted.Finally,the information between the layers of the power monitoring network is exchanged to complete the safe transmission.The experimental results show that this method has the advantages of high transmission rate,long transmission distance and low bit error rate when attacked,and can ensure the security of information transmission.
作者
贾峰
JIA Feng(State Grid Mianyang Power Supply Company,Mianyang Sichuan 621000,China)
出处
《信息与电脑》
2023年第11期26-28,共3页
Information & Computer
关键词
反向传播(BP)
神经网络
信息安全
电力监控
Back Propagation(BP)
neural network
information security
power monitoring
