Tan, Choon Lin and Chiew, Kang Leng and Sze, San Nah (2017) Phishing webpage detection using weighted URL tokens for identity keywords retrieval. Lecture Notes in Electrical Engineering, 398. pp. 133-139. ISSN 18761100
PDF
Phishingwebpage-detection-usingweighted-URL-tokens-for-identity-keywords-retrieval_2017_Lecture-Notes-in-Electrical-Engineering.html Download (1kB) |
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.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Identity keywords; Keywords retrieval; Phishing detection; Search engine; Weighted URL tokens, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
Depositing User: | Ibrahim |
Date Deposited: | 24 Jan 2017 01:06 |
Last Modified: | 17 Aug 2020 17:53 |
URI: | http://ir.unimas.my/id/eprint/14955 |
Actions (For repository members only: login required)
View Item |