DocumentCode
2461053
Title
Preventing False Positives in Content-Based Phishing Detection
Author
Nakayama, Shinta ; Echizen, Isao ; Yoshiura, Hiroshi
Author_Institution
Grad. Sch. of Human Commun., Univ. of Electro-Commun., Chofu, Japan
fYear
2009
fDate
12-14 Sept. 2009
Firstpage
48
Lastpage
51
Abstract
Content-based phishing detection extracts keywords from a target Web page, uses these keywords to retrieve the corresponding legitimate site, and detects phishing when the domain of the target page does not match that of the retrieved site. It often misidentifies a legitimate target site as a phishing site, however, because the extracted keywords do not charecterize the legitimate site with sufficient accuracy. Two methods are described for extracting keywords: domain keyword extraction, which extracts keywords from not only the page on the browser but also from pages linked from this page, and time-invariant keyword extraction, which extracts keywords from the page and previous versions of the page. Experiments using 172 legitimate sites demonstrated a reduction in the false detection rate from 14.0% to 7.6%, while experiments using 172 phishing sites demonstrated no change in the rate of overlooking phishing pages.
Keywords
Web sites; computer crime; content-based retrieval; unsolicited e-mail; Web page; content-based phishing detection; domain keyword extraction; false positives prevention; legitimate site; phishing sites; time-invariant keyword extraction; Content based retrieval; Data mining; HTML; Humans; IP networks; Informatics; Information retrieval; National security; Signal processing; Web pages; Internet; network; phishing; security;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference on
Conference_Location
Kyoto
Print_ISBN
978-1-4244-4717-6
Electronic_ISBN
978-0-7695-3762-7
Type
conf
DOI
10.1109/IIH-MSP.2009.147
Filename
5337305
Link To Document