Detection of phishing websites based on the improved TrustRank algorithm

Hao HAN; Bowen LIU; Guoyuan LIN

doi:10.11959/j.issn.1000-0801.2018046

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Detection of phishing websites based on the improved TrustRank algorithm

Research and development | 更新时间：2024-06-05

- Detection of phishing websites based on the improved TrustRank algorithm
- Telecommunications Science Vol. 34, Issue 3, Pages: 86-94(2018)
- 作者机构：
  
  中国矿业大学计算机科学与技术学院，江苏徐州 221116
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2018046
  CLC： TP182
- Published Online：2018-03，
  
  Published：20 March 2018
- 稿件说明：
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Hao HAN, Bowen LIU, Guoyuan LIN. Detection of phishing websites based on the improved TrustRank algorithm[J]. Telecommunications science, 2018, 34(3): 86-94.
DOI：

Hao HAN, Bowen LIU, Guoyuan LIN. Detection of phishing websites based on the improved TrustRank algorithm[J]. Telecommunications science, 2018, 34(3): 86-94. DOI： 10.11959/j.issn.1000-0801.2018046.

摘要

钓鱼检测方式一般只是通过比较网页间特征的相似度判断钓鱼网站，容易被攻击者根据特征提取过程反检测。因此，提出依据网页之间的关系来检测钓鱼网站，通过设立网页集合、结合钓鱼网站与其他网站间的链接关系改进TrustRank算法来检测钓鱼网站。实验证明，改进的TrustRank算法可以将钓鱼网站的信任值集中在一个范围内，并且与其他方法相比具有较低的误判率、漏判率和较高的速度，可以很好地检测钓鱼网站。

Abstract

Anti-phishing methods just generally detect phishing sites based on comparing the similarity of pages features

which could be anti-detected when attackers are clear about the extraction process of features.Therefore

a method based on web pages relationship was proposed to detect phishing websites.According to this method

phishing websites were detected by an improved TrustRank algorithm which set up a collection of web pages and used the link relationship between phishing websites and other websites.Experiments show that the improved TrustRank algorithm can focus the trust values of phishing websites on some range with the lower false positive rate

the lower false negative rate and the higher speed compared to other methods.

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references

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