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Published in:
2017 | OriginalPaper | Chapter
Phishing Webpage Detection Using Weighted URL Tokens for Identity Keywords Retrieval
Authors : Choon Lin Tan, Kang Leng Chiew, San Nah Sze
Published in: 9th International Conference on Robotic, Vision, Signal Processing and Power Applications
Publisher: Springer Singapore
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Abstract
Phishing is an online identity theft that has threatened Internet users for more than a decade. This paper proposes an anti-phishing technique based on a weighted URL tokens system, which extracts identity keywords from a query webpage. Using the identity keywords as search terms, a search engine is invoked to pinpoint the target domain name, which can be used to determine the legitimacy of the query webpage. Experiments were conducted over 1000 datasets, where 99.20 % true positives and 92.20 % true negatives were achieved. Results suggest that the proposed system can detect phishing webpages effectively without using conventional language-dependent keywords extraction algorithms.