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 :
بازگشت