Conference proceeding
B-APT: Bayesian Anti-Phishing Toolbar
2008 IEEE International Conference on Communications, pp.1745-1749
05/2008
DOI: 10.1109/ICC.2008.335
Abstract
Identity theft is one of the fastest growing crimes in the nation, and phishing has been a primary tool used for this type of theft. In this paper, we present B-APT, a Bayesian anti-phishing toolbar designed to help users identify phishing Websites and protect their sensitive information. Bayesian filters have shown great performance in content-based spam filtering and we adapt a Bayesian filter to detect phishing attacks in the Web browser. The experimental results show that our toolbar effectively detects phishing sites, and is also efficient in terms of page load delay. Among the phishing sites in our testbed, B-APT detected 100% of phishing sites while IE and Firefox only detected 64% and 55%, respectively. Netcraft and SpoofGuard show better accuracy, 98% and 90%, respectively.
Details
- Title: Subtitle
- B-APT: Bayesian Anti-Phishing Toolbar
- Creators
- P Likarish - University of IowaEunjin Jung - University of IowaD Dunbar - University of IowaT.E Hansen - University of IowaJ.P Hourcade - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- 2008 IEEE International Conference on Communications, pp.1745-1749
- DOI
- 10.1109/ICC.2008.335
- ISSN
- 1550-3607
- eISSN
- 1938-1883
- Publisher
- IEEE
- Language
- English
- Date published
- 05/2008
- Academic Unit
- Nursing; Computer Science
- Record Identifier
- 9984259430902771
Metrics
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