基于决策树的二维码恶意网址检测方法

The Detection Method for Two-dimensional Barcode Malicious URL Based on the Decision Tree

二维码技术应用已经进入大众生活,同时也逐渐成为恶意软件传播的新途径。面向二维码中URL,提出二维码恶意网址决策树智能检测方法。利用恶意网址和正规网址,提取网址特征,构建特征向量,进而构建决策树。进一步对网址特征提取及决策树选择进行了优化,实例测试结果表明系统在对恶意网址识别的响应速度和准确率方面取得了良好的效果。

With the expanding application of the the two-dimensional barcode, two-dimensional barcode has gradually become a new malicious software transmission. To two-dimensional barcode malicious URLs, this paper proposes an intelligent detection method with the decision tree algorithm for mobile users. The method extracts URLs feature by utilizing data of malicious and benign URLs, forms feature vectors and generates the decision tree. Further, the research tunes the URLs features and optimizes the decision tree. The results of some practical tests shows the method is efficient and effective for detecting the malicious URLs in two-dimensional barcodes.