【摘要】 针对当前很多网站中虚假下载链接过多的问题,文章基于特征提取及机器学习技术,提出了一种基于特征提取的有效下载链接识别方案DLRS,用于辅助用户判别网页中的下载链接是否真实有效,从而避免用户因为点击虚假下载链接而导致的安全威胁。同时,该方案还能使用户从很多嵌入有广告信息的链接中找到有效的下载链接,提高下载的效率。文章利用散布矩阵的方法完成特征提取,利用线性回归建立模型,最后利用梯度下降法找出最优解。测试结果表明,DLRS在效率和精度上表现良好,具有推广应用价值。更多还原

【Abstract】 Considering the characteristics that there are many fake download links in download websites, this paper proposes a download link recognition scheme DLRS based on the technology of feature extraction and machine learning in order to help users identify whether a download link is real and available or not. Thus it can prevent users from security threats caused by clicking on fake download links. Meanwhile, the scheme can also enable users to find real download links from many links embedded in advertising information, improving the efficiency of information download.In this paper, we use the method of scatter matrix to extract the features, and apply linear regression to establish the model. Finally, the gradient descent is adopted to find the optimal solution. The experience shows that DLRS performs well in terms of efficiency and accuracy, and has good promotional values.更多还原