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Lexical Based Method for Phishing Urls Detection
| Content Provider | Semantic Scholar |
|---|---|
| Author | Daeef, Ammar Yahya Ahmad, R. Badlishah Yacob, Yasmin Mohd |
| Copyright Year | 2016 |
| Abstract | Phishing is a social engineering attack that exploits user's ignorance during system processing has an impact on commercial and banking sectors. Numerous techniques are developed in the last years to detect phishing attacks such as authentication, security toolbars, blacklists, phishing emails, phishing websites, and URL analysis. Regrettably, nowadays detection system implemented for specific attack vectors such as email which make developing wide scope detection is much needed. Previous studies show that analysis of URLs proved to be a good option to detect malicious activities where this method mostly based on features of lexical, host information, and other complex method which requires a long processing time. In this paper, we present phishing detection system using features extracted from URLs lexical only to meet two important goals which are wide scope of protection and applicability in a real-time system. The system provides accuracy of 94% and can classify single URL in average time of 0.12 second. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.jatit.org/volumes/Vol88No3/26Vol88No3.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
