Network security situation prediction based on improved adaptive grey Verhulst model |
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Authors: | Wei Hu Jian-hua Li Xiu-zhen Chen Xing-hao Jiang |
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Institution: | [1]Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200240, China [2]Network Control Center, State Grid Information and Communication Co. Ltd, Beijing 100761, China |
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Abstract: | Network security situation is a hot research topic in the field of network security. Whole situation awareness includes the
current situation evaluation and the future situation prediction. However, the now-existing research focuses on the current
situation evaluation, and seldom discusses the future prediction. Based on the historical research, an improved grey Verhulst
model is put forward to predict the future situation. Aiming at the shortages in the prediction based on traditional Verhulst
model, the adaptive grey parameters and equaldimensions grey filling methods are proposed to improve the precision. The simulation
results prove that the scheme is efficient and applicable. |
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Keywords: | |
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