A Survey on Phishing Emails Detection Techniques

被引:3
|
作者
Muneer, Amgad [1 ]
Ali, Rao Faizan [2 ]
Al-Sharai, Abdo Ali [3 ]
Fati, Suliman Mohamed [4 ]
机构
[1] Univ Teknol PETRONAS, Dept Comp & Informat Sci, Perak, Malaysia
[2] Univ Management & Technol, Dept Comp Sci, Lahore, Pakistan
[3] Univ Tun Hussein Onn Malaysia, Fac Elect & Elect Engn, Johor Baharu, Malaysia
[4] Prince Sultan Univ, Informat Syst Dept, Riyadh, Saudi Arabia
关键词
Phishing emails; email filtering; phishing attacks; classification; data mining; machine learning;
D O I
10.1109/ICIC53490.2021.9692960
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the last few eras, phishing attacks have become more sensitive case for local users, organizations, and service providers. Phishing emails can also cause financial loss to organizations and individuals. Phishing attackers swindle the user or organization's information by sending them fake emails that resemble most of their work. Many researchers proposed different methods to avoid phishing emails, but this problem has not been fully solved. Over time, there is a rapid increase in technology and phishing attack methods and detection techniques. The network users want the complete solution to avoid phishing attacks, which is quite difficult; however, using many methods can avoid phishing emails. In this survey paper, we present an overview of the state-of-the-art techniques to detect phishing emails. We perform a comprehensive study of these techniques and evaluate them. This provides an understanding of the problem; its solution space and future research directions are also proposed.
引用
收藏
页码:144 / 149
页数:6
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