计算机与现代化Issue(7)：95-97,102,4.DOI:10.3969/j.issn.1006-2475.2016.07.019
基于 SVM 和 TF-IDF 的恶意 URL 识别分析与研究
Analysis and Research of Malicious URL Recognition Based on SVM and TF-IDF
摘要
Abstract
With the rapid development of the Internet , especially the mobile Internet , there are more and more sites that have been brought out and destroyed in the world .In this paper , we propose a URL detection scheme based on machine learning , through analyzing the features of URL ’s text and sites.The URL’s site feature is refined by TF-IDF algorithm, the URL security detection is carried out with SVM kernel based on RBF kernel , and it obtained 96%auuracy and 0.95 F1 sore.关键词
网络安全/URL检测/TF-IDF/SVMKey words
network security/URL detection/TF-IDF/SVM分类
信息技术与安全科学引用本文复制引用
甘宏,潘丹..基于 SVM 和 TF-IDF 的恶意 URL 识别分析与研究[J].计算机与现代化,2016,(7):95-97,102,4.基金项目
国家自然科学基金资助项目（61272067）；广东省自然科学基金团队研究资助项目 （）
