A Systematic Literature Review on Phishing and Anti-Phishing Techniques
This review synthesizes existing knowledge on phishing threats and defenses, which is incremental as it aggregates prior research without introducing new methods.
The paper conducted a systematic literature review to analyze phishing techniques and anti-phishing methods, finding that spear phishing and email spoofing are common attacks, while machine learning approaches achieve the highest accuracy in detection.
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.