图 书 馆
识别可疑URL：大规模在线学习的应用Identifying Suspicious URLs: An Application of Large-Scale Online Learning |
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| 课程网址: | http://videolectures.net/icml09_ma_isu/ |
| 主讲教师: | Justin Ma |
| 开课单位: | 加州大学 |
| 开课时间: | 2009-09-26 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This paper explores online learning approaches for detecting malicious Web sites (those involved in criminal scams) using lexical and host-based features of the associated URLs. We show that this application is particularly appropriate for online algorithms as the size of the training data is larger than can be efficiently processed in batch and because the distribution of features that typify malicious URLs is changing continuously. Using a real-time system we developed for gathering URL features, combined with a real-time source of labeled URLs from a large Web mail provider, we demonstrate that recently-developed online algorithms can be as accurate as batch techniques, achieving classification accuracies up to 99% over a balanced data set. |
| 关 键 词: | 检测恶意网站; 在线学习; 在线算法 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-12：章泽平(课程编辑志愿者) |
| 阅读次数: | 78 |