Abstract:

Collecting literature from the Web of Science Core Collection which contains SCI, CPCI-S and BKCI-S databases, this paper focuses on clustering analysis of existing literature（domestic and overseas）, which spans nearly 13 years with Cite Space and Carrot2 as analysis tools. In addition, this paper seeks to obtain the current worldwide study status of phishing sites detection like research focuses, the development and evolution process, known institutions and key publications. Also, this paper sorts out methods concerning phishing sites detection and selects representative papers by intensive reading of a small amount of top papers and extensive reading of partial well-known papers. In the end, based on the aforementioned analysis, this paper looks forward to future development of phishing sites detection so as, to provide reference to researchers in this field to a certain extent.

Key words: phishing sites detection, phishing, phishing attacks, visualization analysis, bibliometric

摘要：

从包含相关SCI、CPCI-S与BKCI-S等数据库的Web of Science核心合集数据库出发，对数据库中存在的近13年的国内外文献使用Cite Space与Carrot2分析工具进行聚类分析。力求系统客观地得到国际上钓鱼网站检测技术研究领域的关注热点、研究脉络、著名机构以及核心刊物等研究现状。筛选出具有代表性的文章，采取少量顶级文章精读、部分知名文章粗读的方式对目前钓鱼网站检测技术所涉及到的方法做整理与归类。根据上文的分析对钓鱼网站检测技术的发展方向做了规律性展望，以求对此方向下相关研究人员的研究提供一定的参考。

关键词: 钓鱼网站检测, 网络钓鱼, 钓鱼攻击, 可视化分析, 文献计量学