CRApr 14, 2021

Phishing Mitigation Techniques: A Literature Survey

arXiv:2104.06989v19 citations
Originality Synthesis-oriented
AI Analysis

It addresses the problem of phishing attacks for email users and organizations, but is incremental as it reviews and discusses existing approaches without introducing new methods.

This paper surveys existing phishing mitigation techniques, highlighting their limitations in distinguishing phishing emails from legitimate ones, and explores potential improvements for phishing detection.

Email is a channel of communication which is considered to be a confidential medium of communication for exchange of information among individuals and organisations. The confidentiality consideration about e-mail is no longer the case as attackers send malicious emails to users to deceive them into disclosing their private personal information such as username, password, and bank card details, etc. In search of a solution to combat phishing cybercrime attacks, different approaches have been developed. However, the traditional exiting solutions have been limited in assisting email users to identify phishing emails from legitimate ones. This paper reveals the different email and website phishing solutions in phishing attack detection. It first provides a literature analysis of different existing phishing mitigation approaches. It then provides a discussion on the limitations of the techniques, before concluding with an exploration into how phishing detection can be improved.

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