Dynamic Intrusion Detection Algorithm for Power Information Network Based on Data Flow Characteristics
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1983-3_57
Reference20 articles.
1. Zhou J, Wu Q, Li J et al (2022) Dynamic encryption of power internet of things data based on national secret algorithm. International conference on artificial intelligence and security. Springer, Cham
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3. Zhang P, Wang C, Kumar N et al (2022) Dynamic virtual network embedding algorithm based on graph convolution neural network and reinforcement learning. arXiv e-prints, 2022
4. Yu H, Gao M, Zhang H et al (2021) Dynamic modeling for SO_2-NO_x emission concentration of circulating fluidized bed units based on quantum genetic algorithm—extreme learning machine. J Cleaner Prod:324
5. gaoyu. App1ication of network security situationa1 awareness in power information system security. IOP Publishing Ltd.
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