A Framework for Predicting Network Security Situation Based on the Improved LSTM

A Framework for Predicting Network Security Situation Based on the Improved LSTM

In recent years, raw security situation data cannot be utilized well by fully connected neural networks. Generally, a cyberinfiltration is a gradual process and there are logical associations between future situation and historical information.Taking the factors into account, this paper proposes a f...

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Bibliographic Details
Main Authors: Shixuan Li, Dongmei Zhao, Qingru Li
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2020-06-01
Series:EAI Endorsed Transactions on Collaborative Computing
Subjects:
network security situation
deep learning
situation prediction
neural network
lstm
Online Access:https://eudl.eu/pdf/10.4108/eai.12-6-2020.165278

Internet

https://eudl.eu/pdf/10.4108/eai.12-6-2020.165278

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