an intelligent anti-phishing strategy model for phishing website detection

ISCAS OpenIR

	an intelligent anti-phishing strategy model for phishing website detection
	Zhuang Weiwei; Jiang Qingshan; Xiong Tengke
	2012
会议名称	32nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2012
会议录名称	Proceedings - 32nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2012
页码	51-56
会议日期	June 18, 2012 - June 21, 2012
会议地点	Macau, China
收录类别	EI
部门归属	(1) Department of Cognitive Science Xiamen University Xiamen 361005 China; (2) Shenzhen Institutes of Advanced Technology (SIAT) Chinese Academy of Sciences Shenzhen 518055 China; (3) Software School of Xiamen University Xiamen University Xiamen 361005 China
摘要	As a new form of malicious software, phishing websites appear frequently in recent years, which cause great harm to online financial services and data security. In this paper, we design and implement an intelligent model for detecting phishing websites. In this model, we extract 10 different types of features such as title, keyword and link text information to represent the website. Heterogeneous classifiers are then built based on these different features. We propose a principled ensemble classification algorithm to combine the predicted results from different phishing detection classifiers. Hierarchical clustering technique has been employed for automatic phishing categorization. Case studies on large and real daily phishing websites collected from King soft Internet Security Lab demonstrate that our proposed model outperforms other commonly used anti-phishing methods and tools in phishing website detection. © 2012 IEEE.; As a new form of malicious software, phishing websites appear frequently in recent years, which cause great harm to online financial services and data security. In this paper, we design and implement an intelligent model for detecting phishing websites. In this model, we extract 10 different types of features such as title, keyword and link text information to represent the website. Heterogeneous classifiers are then built based on these different features. We propose a principled ensemble classification algorithm to combine the predicted results from different phishing detection classifiers. Hierarchical clustering technique has been employed for automatic phishing categorization. Case studies on large and real daily phishing websites collected from King soft Internet Security Lab demonstrate that our proposed model outperforms other commonly used anti-phishing methods and tools in phishing website detection. © 2012 IEEE.
关键词	Security Of Data Websites
主办者	IEEE Comput. Soc. Tech. Comm. Distrib. Process.
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15964
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Zhuang Weiwei,Jiang Qingshan,Xiong Tengke. an intelligent anti-phishing strategy model for phishing website detection[C],2012:51-56.