Spam and Phishing Detection

This cluster of papers focuses on the detection and prevention of phishing attacks, including techniques such as spam detection, machine learning, bot detection, review spam analysis, URL filtering, and defense against Sybil attacks in social networks. The research also explores behavioral analysis for identifying suspicious activities and emphasizes the importance of security education in mitigating phishing threats.

How has Spam and Phishing Detection's publication output changed over time?

Output grew100% over the shown period — from 1 works in 2013 to 2 in 2023.

What are the most-cited papers on Spam and Phishing Detection?

Where is Spam and Phishing Detection research published, and who funds it?

How much of the research on Spam and Phishing Detection is open access?