an intelligent anti-phishing strategy model for phishing website detection
文献类型：会议论文
| 作者 | Zhuang Weiwei ; Jiang Qingshan ; Xiong Tengke |
| 出版日期 | 2012 |
| 会议名称 | 32nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2012 |
| 会议日期 | June 18, 2012 - June 21, 2012 |
| 会议地点 | Macau, China |
| 关键词 | Security of data Websites |
| 页码 | 51-56 |
| 中文摘要 | 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. |
| 英文摘要 | 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. |
| 收录类别 | EI |
| 会议主办者 | IEEE Comput. Soc. Tech. Comm. Distrib. Process. |
| 会议录 | Proceedings - 32nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2012
 |
| 语种 | 英语 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/15964]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 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]. 见:32nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2012. Macau, China. June 18, 2012 - June 21, 2012. |
入库方式： OAI收割
来源：软件研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。