Phishing is the number one threat in the world of internet. Phishing attacks are from decades and with each passing year it is becoming a major problem for internet users as attackers are coming with unique and creative ideas to breach the security. In this paper, different types of phishing and anti-phishing techniques are presented. For this purpose, the Systematic Literature Review(SLR) approach is followed to critically define the proposed research questions. At first 80 articles were extracted from different repositories. These articles were then filtered out using Tollgate Approach to find out different types of phishing and anti-phishing techniques. Research study evaluated that spear phishing, Email Spoofing, Email Manipulation and phone phishing are the most commonly used phishing techniques. On the other hand, according to the SLR, machine learning approaches have the highest accuracy of preventing and detecting phishing attacks among all other anti-phishing approaches.
翻译:钓鱼是互联网世界的头号威胁。钓鱼攻击来自数十年,逐年成为互联网用户的一个主要问题,因为攻击者正在以独特和创造性的想法来破坏安全。本文介绍了不同类型的钓鱼和反钓鱼技术。为此目的,采用了系统文学评论(SLR)的方法来严格界定拟议的研究问题。最初从不同的储存库中提取了80篇文章。这些文章随后用“钓鱼方法”过滤出来,以找出不同类型的钓鱼和反钓鱼技术。研究评估了长矛、电子邮件Spoofing、电子邮件打字和电话打网是最常用的钓鱼技术。另一方面,根据SLR,机器学习方法在预防和发现各种反钓鱼方法中具有最高准确性。