Using a Logical Classification Algorithm Based on the Search for Conjunctive Patterns in Cybersecurity Analysis
摘要
This article discusses the significance of research in the field of phishing domain detection using decision trees. Methods for analyzing data to determine significant factors about phishing domains are examined, with a focus on the application of decision trees. Adequate model has been identified using this machine learning method with an error rate of just 3%. The resulting significant factors based on decision trees are discussed. Additionally, potential benefits and prospects for the development of this research area within the context of cybersecurity are considered.