Netinfo Security ›› 2018, Vol. 18 ›› Issue (10): 31-36.doi: 10.3969/j.issn.1671-1122.2018.10.005

Previous Articles     Next Articles

Research on a Download Link Recognition Scheme Based on Feature Extraction

Guihua DUAN(), Zhuoxiang SHEN, Dongjie SHEN, Zhi LI   

  1. School of Information Science and Engineering, Central South University, Changsha Hunan 410012, China
  • Received:2018-04-15 Online:2018-10-10 Published:2020-05-11

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.

Key words: feature extraction, machine learning, download link, security recognition

CLC Number: