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21 December 2023 High concealed and illegal cross-district access monitoring technology for new energy power stations based on K-nearest neighbor algorithm
Yun Liu, Yachen Zhang, Zhiyuan Deng, Hongfei Xu
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Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129703G (2023) https://doi.org/10.1117/12.3012523
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China
Abstract
As the primary industry that can change the way of socio-economic development mode, the network information security of new energy power stations must be ensured. This article first designs a horizontal boundary exposed by pass monitoring scheme for the horizontal cross-district access method of new energy power stations. The K-nearest neighbor classification algorithm is used to match, identify, and classify the key factors of network flows with and without protection. A dedicated network remote monitoring method for automatic discovery process based on network topology information structure is designed for cross-district access process caused by dedicated network remote operation and maintenance. The dedicated network is located by the change of network topology. Based on the monitoring schemes of the above two scenarios, a dual-network card violation external monitoring system based on an improved agent is deployed in the network to detect high-concealment illegal cross-domain access processes in real-time in new energy power stations. The system verification finally proves the effectiveness of the proposed method.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Yun Liu, Yachen Zhang, Zhiyuan Deng, and Hongfei Xu "High concealed and illegal cross-district access monitoring technology for new energy power stations based on K-nearest neighbor algorithm", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129703G (21 December 2023); https://doi.org/10.1117/12.3012523
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KEYWORDS
Solar energy
Education and training
Classification systems
Computing systems
Environmental monitoring
Network security
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