Research & Publications
Research papers, chapters and technical materials focused on phishing detection, fraud prevention and analytical techniques in financial crime.
Comprehensive approach to detecting phishing webpages using computer vision and machine learning techniques.
Proposes a structured framework for building balanced and comprehensive phishing datasets for machine learning research.
Analysis of commonly used URL and domain obfuscation techniques and their prevalence in phishing attacks.
Investigates the factors influencing the lifespan of phishing web pages and their implications for detection strategies.
Evaluates the long-term effectiveness of domain blacklists as a primary method for phishing webpage detection.
Survey of automated techniques for phishing detection, covering rule-based, heuristic and machine learning approaches.
Examines multi-channel strategies for educating banking customers on fraud and phishing threats.
Applies data mining methods to identify phishing patterns and improve automated detection accuracy.