Behind HumanBoost: Analysis of Users’ Trust Decision Patterns for Identifying Fraudulent Websites

• 作 者: Daisuke Miyamoto Hiroaki Hazey
• 机 构: InformationTechnologyCenter,InternetEngineeringLaboratory,SecurityArchitectureLaboratory
• 出 处: 智能学习系统与应用(英文)
• 发表日期: 2012年4期
• 关键词: Detection of PHISHING Sites TRUST DECISION CREDIBILITY of WEBSITES Machine Learn

This paper analyzes users’ trust decision patterns for detecting phishing sites. Our previous work proposed HumanBoost [1] which improves the accuracy of detecting phishing sites by using users’ Past Trust Decisions (PTDs). Web users are generally require