Survey of AI-Based Threat Detection for Illicit Web Ecosystems: Models, Modalities, and Emerging Trends

Key Points

• The study aims to analyze various AI-based models used in detecting threats within illicit web ecosystems.
• Conducted a survey of existing AI models for threat detection.
• Examined modalities used in addressing phishing, scam platforms, and malicious advertising.
• Identified emerging trends in the field of cybersecurity regarding illicit online activities.
• Highlighted the rapid growth of illicit web activities.
• Found that AI models significantly improve detection capabilities.
• Indicated a need for enhanced security measures in response to evolving threats.

Abstract