电子科技大学学报2024，Vol.53Issue(6)：883-899,17.DOI:10.12178/1001-0548.2023273
网络钓鱼检测研究综述
A Review of Phishing Detection Research
摘要
Abstract
Phishing,as a form of social engineering attack,aims to deceive victims by masquerading as a trustworthy entity such as a bank,social media platform,or government agency,using false emails,websites,or messages.Researchers primarily employ various technological means to detect phishing attacks,yet current detection studies face three main challenges.Firstly,attackers employ disguise,exploit vulnerabilities,and employ evasion techniques to evade detection.Secondly,existing detection methods suffer from poor interpretability,low real-time capabilities,and issues like concept drift.Lastly,due to insufficient interpretability,users may lack trust in the detection results.This paper summarizes the current detection researches from the aspects of application scenarios,datasets,detection methods,etc.,and puts forward the current problems and prospects the possible research hotspots in the future.关键词
网络钓鱼/网络钓鱼检测/深度学习/机器学习Key words
phishing/phishing detection/deep learning/machine learning分类
信息技术与安全科学引用本文复制引用
谢丽霞,张浩,杨宏宇,胡泽,成翔,张良..网络钓鱼检测研究综述[J].电子科技大学学报,2024,53(6):883-899,17.基金项目
国家自然科学基金(62201576,U1833107) （62201576,U1833107）
中央高校基本科研业务费专项资金(3122022050) （3122022050）
