Security Technology of Unmanned Cluster Communication Network Based on Physical Layer Key Generation Technology

To optimize the security of unmanned cluster communication networks, a hybrid direct-relay transmission eavesdropping channel model for unmanned clusters is designed. Depending on wireless channel randomness and reciprocity, a physical layer key generation method on the basis of random signal transmission is proposed. Experiments demonstrated that increasing the number of relays and improving the gain of legitimate channels greatly enhanced the confidentiality capacity of unmanned cluster eavesdropping channel models and reduced the security interruption probability. The average throughput and bit error rate of the eavesdropping channel model were 2.83 bps and 9.49%, respectively, which were 40.71% and 41.62% higher than other models, respectively. The key generation rate increased by 35.81% compared to other methods, and the memory consumption decreased by 15.02% compared to other methods. When the SNR is 30 dB, the bit error rate and eavesdropping cracking rate of the point-to-point key generation method are reduced by 62.03% and 81.83%, respectively. The consistency of key generation reached 99.76%, which was 2.35% higher than other methods. Moreover, it has shown superior performance in various fields such as military reconnaissance, disaster relief, agricultural monitoring, and logistics transportation, with accuracy and randomness reaching over 98%. The results indicate that the proposed method based on random signal transmission has demonstrated superior security performance and resource efficiency in unmanned cluster communication networks. This method not only provides a new security solution for unmanned cluster systems, but also opens up new directions for the research of physical layer security technology.