DocumentCode
2981047
Title
A novel Phishing classification based on URL features
Author
Khonji, Mahmoud ; Jones, Andrew ; Iraqi, Youssef
Author_Institution
Khalifa Univ. of Sci., Technol. & Res. (KUSTAR), Sharjah, United Arab Emirates
fYear
2011
fDate
19-22 Feb. 2011
Firstpage
221
Lastpage
224
Abstract
Phishing is the process of illicitly obtaining data through social engineering via electronic communication channels. As reported by the Anti-Phishing Working Group (APWG), Phishing attacks are growing in volume and sophistication. As a result, the need to improve Phishing detection methods increases. We introduce a simple and novel Phishing classification feature that aims toward supplementing existing classifiers by detecting a subset of Phishing attacks.
Keywords
computer crime; unsolicited e-mail; Anti-Phishing Working Group; URL features; electronic communication channels; phishing classification feature; phishing detection methods; social engineering; Delay; Electronic mail; Feature extraction; Heuristic algorithms; IP networks; Internet; Proposals; Phishing; URL; classification;
fLanguage
English
Publisher
ieee
Conference_Titel
GCC Conference and Exhibition (GCC), 2011 IEEE
Conference_Location
Dubai
Print_ISBN
978-1-61284-118-2
Type
conf
DOI
10.1109/IEEEGCC.2011.5752505
Filename
5752505
Link To Document