Application of an Improved Recurrent Neural Network in Network Security Situation Prediction
Keyword(s):
The expansion of the network becomes size, network mode is diversification, network topology structure becomes more complex, the data traffic rises rapidly in the network, causes the network load increases, attack, fault and other unexpected network security events are more severe. Neural network to deal with nonlinear, complexity advantage of this paper, network security situation prediction based on improved recursive neural networks, experimental results show that the high efficiency of the method, results are compared with the actual values, low error, high accuracy.
2020 ◽
Vol 64
(3)
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pp. 30502-1-30502-15
2021 ◽
Vol 10
(1)
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pp. 1
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2020 ◽
Vol 63
(10)
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pp. 856-861
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2021 ◽
Vol 3
(1)
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pp. 8-14
2019 ◽
Vol 64
(6)
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pp. 669-675
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2017 ◽
Vol 232
(3)
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pp. 816-823
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