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

Shixuan Li, Dongmei Zhao, Qingru Li · EAI Endorsed Transactions on Collaborative Computing · 2020

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

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