Spam and Phishing Detection

Spam and Phishing Detection is a research topic within Information Systems. Science Explorer counts 23k research works in it since 1970. 9.9% of them reached the world's top 10% most cited for their field and year.

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.

• Phishing
• Spam Detection
• Social Networks
• Machine Learning
• Bot Detection
• Review Spam
• URL Filtering
• Sybil Attacks
• Behavioral Analysis
• Security Education