A Comprehensive Study of Crowd-Sourced Phishing Submission Dynamics: Trends, Patterns, and Insights for Effective Countermeasures.

This study aims to analyse recurrent patterns in phishing submissions within a global phishing reporting community, with a focus on understanding the evolution of phishing activities over time. The research investigates key aspects such as trends in valid and invalid phishing submissions, seasonal peaks in phishing activity, and correlations between submissions and verification time. The study seeks to determine if there are significant differences between valid and invalid phishing submissions, and the potential influence of specific months on phishing occurrences, offering valuable insights for future interventions. The research will also examine the features of phishing datasets, and the application of statistical and machine learning methodologies to detect patterns that can enhance the effectiveness of anti-phishing initiatives.