Abstract
Aiming at the problem of poor intrusion prevention in power UAV network communication, this paper proposes an optimization algorithm for power UAV network communication intrusion prevention based on artificial intelligence. Detect the abnormal data of power UAV network communication, strengthen the data filtering and management, and carry out adaptive filtering for abnormal areas to achieve effective data preprocessing. Furthermore, it captures communication intrusion data, transmits data filter signal, adjusts detection algorithm, monitors internal signal and avoids bad signal. The optimal intrusion threshold is calculated, and the collected data is adjusted on the basis of artificial intelligence algorithm to obtain the final parameters of the algorithm. Experimental results show that the convergence value of the algorithm is 3 × 105, which has low convergence. Strong anti invasion ability and good practical application prospects. The results show that the algorithm based on artificial intelligence has good performance.
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Hu, G., Lin, Z., Guo, Z., Xu, R., Zhang, X. (2023). Research on Intrusion Prevention Optimization Algorithm of Power UAV Network Communication Based on Artificial Intelligence. In: Xu, Y., Yan, H., Teng, H., Cai, J., Li, J. (eds) Machine Learning for Cyber Security. ML4CS 2022. Lecture Notes in Computer Science, vol 13657. Springer, Cham. https://doi.org/10.1007/978-3-031-20102-8_21
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DOI: https://doi.org/10.1007/978-3-031-20102-8_21
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