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Malicious Web Pages Detection Based on Machine Learning
Author(s): 
Pages: 36-40,12
Year: Issue:  4
Journal: Journal of Beijing Electronic Science and Technology Institute

Keyword:  恶意网页代码 JavaScript 特征提取;
Abstract: 网络中大量的恶意网页已经成为网络用户的主要安全威胁。本文提出了一种基于机器学习分类器的网页恶意JavaScript代码分析方法。通过对训练样本训练学习,建立分类模型,最后对测试样本检测。实验表明,本方法能够有效的检测出大部分恶意网页JavaScript代码,检测准确率达到88.5%
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