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

  • JCR Impact Factor: 7.847, Top 10% (SCI Q1)
    CiteScore: 13.0, Top 5% (Q1)
    Google Scholar h5-index: 51, TOP 8
Turn off MathJax
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

More Information

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(6)  / Tables(3)

    Article Metrics

    Article views (1323) PDF downloads(100) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return