Light-weight self-learning approach for URL classification

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PaperⅠ Network attack and Prevention | 更新时间：2024-06-05

- Light-weight self-learning approach for URL classification
- Journal on Communications Vol. 35, Issue 9, Pages: 32-39(2014)
- 作者机构：
  
  1. 北京邮电大学计算机学院，北京 100876
  2. 中国科学院信息工程研究所，北京 100093
  3. 信息内容安全技术国家工程实验室，北京 100093
- 作者简介：
- 基金信息：
  
  The National High Technology Research and Development Program of China (863 Program)(2011AA010703);The National Natural Science Foundation of China(61070026)
- DOI：10.3969/j.issn.1000-436x.2014.09.004
  CLC： TP393.8
- Online First：2014-09，
  
  Published：25 September 2014
- 稿件说明：
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Hong-zhou SHA, Zhou ZHOU, Qing-yun LIU, et al. Light-weight self-learning approach for URL classification[J]. Journal on Communications, 2014, 35(9): 32-39.
DOI：

Hong-zhou SHA, Zhou ZHOU, Qing-yun LIU, et al. Light-weight self-learning approach for URL classification[J]. Journal on Communications, 2014, 35(9): 32-39. DOI： 10.3969/j.issn.1000-436x.2014.09.004.

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