NiNSRAPM: An Ensemble Learning Based Non-intrusive Network Security Risk Assessment Prediction Model

Author:

Yang Jun-Zheng1,Liu Feng2,Zhao Yuan-Jie3,Liang Lu-Lu3,Qi Jia-Yin4

Affiliation:

1. Beijing University of Posts and Telecommunications,School of Cyberspace Security,Beijing,China

2. East China Normal University,School of Computer Science and Technology,Shanghai,China

3. Beijing Yuanbao Technology Co., LTD,Technical Department,Beijing,China

4. Institute for Artificial Intelligence and Change Management Shanghai University of International Business and Economics,Shanghai,China

Publisher

IEEE

Reference27 articles.

1. Ensemble learning: A survey

2. Cyber security risk assessment for SCADA and DCS networks

3. Principle components analysis and support vector machine based intrusion detection system [C];eid;Proc of International Conference on Intelligent Systems Design and Applications,2010

4. CLASSIFICATION OF IMBALANCED DATA: A REVIEW

5. SMOTE: synthetic minority over-sampling technique[J];chawla;Journal of Artificial Intelligence Research,2011

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