网络与信息安全学报 ›› 2020, Vol. 6 ›› Issue (5): 1-10.doi: 10.11959/j.issn.2096-109x.2020062

• 综述 •    下一篇

网络钓鱼识别研究综述

付溪,李晖,赵兴文()   

  1. 西安电子科技大学网络与信息安全学院,陕西 西安 710126
  • 修回日期:2020-02-16 出版日期:2020-10-15 发布日期:2020-10-19
  • 作者简介:付溪(1996- ),女,陕西西安人,西安电子科技大学硕士生,主要研究方向为信息安全|李晖(1968- ),男,河南灵宝人,博士,西安电子科技大学教授、博士生导师,主要研究方向为密码学、无线网络安全、云计算安全、信息论与编码理论|赵兴文(1977- ),男,广西玉林人,博士,西安电子科技大学副教授,主要研究方向为人工智能在网络安全中的应用、多方参与的数据安全共享、匿名认证等保护隐私的密码协议
  • 基金资助:
    国家重点研发计划(2016YFB0801001);移动互联网陕西省创新团队项目(2018TD-007);西安市科技计划项目(201809168CX9JC10)

Survey on phishing detection research

Xi FU,Hui LI,Xingwen ZHAO()   

  1. School of Cyber Engineering,Xidian University,Xi'an 710126,China
  • Revised:2020-02-16 Online:2020-10-15 Published:2020-10-19
  • Supported by:
    The National Key R&D Program of China(2016YFB0801001);Mobile Internet Shaanxi Innovation Team Project(2018TD-007);Xi'an Science and Technology Plan Project(201809168CX9JC10)

摘要:

随着互联网的不断发展,网络钓鱼给人们日常生活带来的威胁与日俱增。网络钓鱼识别技术是对抗钓鱼攻击的核心安全技术,可以帮助人们有效避免钓鱼攻击引起的安全威胁。首先,从网络钓鱼的基本概念入手,详细分析了网络钓鱼识别技术的研究现状,然后,对目前网络钓鱼识别的应用场景进行了归纳和总结,最后,对今后可能的研究方向进行了讨论。

关键词: 网络钓鱼识别, 机器学习, 文本分类, 特征选择

Abstract:

With the continuous development of the internet,the threat posed by phishing to people's daily lives is increasing.As a core security technology against phishing attacks,phishing detection technology can help people effectively avoid security threats caused by phishing attacks.Firstly,starting with the basic concepts of phishing,the current application scenarios of phishing identification were summarized.Then,the research status of phishing identification technology in detail were analyzed.Finally,possible future research directions were discussed.

Key words: phishing detection, machine learning, text classification, feature selection

中图分类号: 

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