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- W3215695164 abstract "As an important part of computer network security system, network information security is not only related to the security of computer stored information, but also affects the construction of computer network environment. Aiming at the problem of network information security risk prediction, this paper proposes a network information security risk prediction method based on Convolutional Neural Network (CNN). In this model, batch normalization of data is added to CNN at each layer, and then the final classification results are obtained through the full connection layer of the network. Based on the established risk prediction index system for network information security system, combined with the CNN prediction model, a network information security system is simulated, and the effectiveness of the proposed model is verified by experiments." @default.
- W3215695164 created "2021-12-06" @default.
- W3215695164 creator A5065171259 @default.
- W3215695164 date "2021-09-24" @default.
- W3215695164 modified "2023-10-16" @default.
- W3215695164 title "Prediction and Analysis of Network Information Security Risk Based on Convolutional Neural Network" @default.
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- W3215695164 doi "https://doi.org/10.1145/3482632.3487522" @default.
- W3215695164 hasPublicationYear "2021" @default.
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