A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 5 Issue 1
Jan.  2018

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Shaohua Teng, Naiqi Wu, Haibin Zhu, Luyao Teng and Wei Zhang, "SVM-DT-Based Adaptive and Collaborative Intrusion Detection," IEEE/CAA J. Autom. Sinica, vol. 5, no. 1, pp. 108-118, Jan. 2018. doi: 10.1109/JAS.2017.7510730
Citation: Shaohua Teng, Naiqi Wu, Haibin Zhu, Luyao Teng and Wei Zhang, "SVM-DT-Based Adaptive and Collaborative Intrusion Detection," IEEE/CAA J. Autom. Sinica, vol. 5, no. 1, pp. 108-118, Jan. 2018. doi: 10.1109/JAS.2017.7510730

SVM-DT-Based Adaptive and Collaborative Intrusion Detection

doi: 10.1109/JAS.2017.7510730
Funds:

the National Natural Science Foundation of China 61772141

the National Natural Science Foundation of China 61673123

Guangdong Provincial Science & Technology Project 2015B090901016

Guangdong Provincial Science & Technology Project 2016B010108007

Guangdong Education Department Project Guangdong Higher Education letter 2015[133]

the Guangzhou Science & Technology Project 201508010067

the Guangzhou Science & Technology Project 201604020145

the Guangzhou Science & Technology Project 201604046017

the Guangzhou Science & Technology Project 2016201604030034

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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