会议专题

AN ANTI-PHISHING MODEL FOR ECOMMERCE UNDER A NETWORK ENVIRONMENT

It is a complicated problem to detect the ecommerce phishing websites in real time. The detection is affected by a lot of factors which are indistinct and correlative. Therefore, fuzzy classification tools can translate the phishing websites details into crisp numbers which could be understood by human. In this paper, we proposed a model which includes six standards and twenty seven elements with fuzzy data mining method to detect and assess the ecommerce phishing risk rate. Although lack of the specific data to do experiment to check the validity, it is a good start to focus on the ecommerce security.

Phishing Ecommerce Fuzzy algorithm

Yifei Cheng Gen Li

School of Economics and Management, Harbin Engineering University, Nantong St.145-11, Harbin City, China

国际会议

13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)

北京

英文

2279-2283

2011-06-08(万方平台首次上网日期,不代表论文的发表时间)