面对当前物理层数据传输无法分离有效信号和噪声,造成信道一端接收到部分野值数据,从而导致信道传输加密效果不佳的问题,提出了基于GA-BPNN的网络物理层传输安全加密方法。构建多时隙加密传输模型,通过上行通信阶段1、2时隙,将信道容量信息转换处理后可得到密钥。通过下行通信阶段3、4时隙,译码与分组解密信息流,实现第一次信息安全传输。使用GA算法选择传输信道,计算个体适应值在传输信道群适应值中所占比例,通过迭代处理避免适应度值异常个体被选中,使GA算法收敛于全局,获取最优选择结果。实验结果表明,该方法经过滤波处理后获取的数据是无野值数据,滤波处理效果较好,且最大吞吐率为5 000 b/s,与理想吞吐率一致,说明使用该方法加密效果较好。

In the face of the problem that the current physical layer data transmission cannot separate the effective signal and noise,which causes the channel end to receive part of the outlier data,resulting in poor channel transmission encryption effect,a network physical layer transmission security encryption method based on GA-BPNN is proposed.Building a multi-slot encrypted transmission model,the key can be obtained after the channel capacity information is converted and processed through the 1 and 2 slots of the uplink communication phase.The first information security transmission is realized through decoding and packet decryption of the information flow through the 3 and 4 timeslots of the downlink communication phase.Use GA algorithm to select the transmission channel,calculate the proportion of individual fitness in the fitness of the transmission channel group,avoid the selection of individuals with abnormal fitness values through iterative processing,make the GA algorithm converge to the global,and obtain the optimal selection result.The experiment results show that the data obtained by this method after filtering is non-outlier data,and the filtering processing effect is good,and the maximum throughput is 5 000 b/s,consistent with the ideal throughput,indicating that the encryption effect of this method is good.