Phishing webpage detection using weighted URL tokens for identity keywords retrieval
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...
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| Format: | Article |
| Language: | English |
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Springer Verlag
2017
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/14955/ http://ir.unimas.my/id/eprint/14955/1/Phishingwebpage-detection-usingweighted-URL-tokens-for-identity-keywords-retrieval_2017_Lecture-Notes-in-Electrical-Engineering.html |
| _version_ | 1848837756881469440 |
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| author | Tan, Choon Lin Chiew, Kang Leng Sze, San Nah |
| author_facet | Tan, Choon Lin Chiew, Kang Leng Sze, San Nah |
| author_sort | Tan, Choon Lin |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T06:44:43Z |
| format | Article |
| id | unimas-14955 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:44:43Z |
| publishDate | 2017 |
| publisher | Springer Verlag |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-149552020-08-17T17:53:09Z http://ir.unimas.my/id/eprint/14955/ Phishing webpage detection using weighted URL tokens for identity keywords retrieval Tan, Choon Lin Chiew, Kang Leng Sze, San Nah TK Electrical engineering. Electronics Nuclear engineering 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. Springer Verlag 2017 Article PeerReviewed text en http://ir.unimas.my/id/eprint/14955/1/Phishingwebpage-detection-usingweighted-URL-tokens-for-identity-keywords-retrieval_2017_Lecture-Notes-in-Electrical-Engineering.html 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 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992695464&doi=10.1007%2f978-981-10-1721-6_15&partnerID=40&md5=96ef3cf0d19ef6dd4d4e9f40c5835030 DOI: 10.1007/978-981-10-1721-6_15 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Tan, Choon Lin Chiew, Kang Leng Sze, San Nah Phishing webpage detection using weighted URL tokens for identity keywords retrieval |
| title | Phishing webpage detection using weighted URL tokens for identity keywords retrieval |
| title_full | Phishing webpage detection using weighted URL tokens for identity keywords retrieval |
| title_fullStr | Phishing webpage detection using weighted URL tokens for identity keywords retrieval |
| title_full_unstemmed | Phishing webpage detection using weighted URL tokens for identity keywords retrieval |
| title_short | Phishing webpage detection using weighted URL tokens for identity keywords retrieval |
| title_sort | phishing webpage detection using weighted url tokens for identity keywords retrieval |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://ir.unimas.my/id/eprint/14955/ http://ir.unimas.my/id/eprint/14955/ http://ir.unimas.my/id/eprint/14955/ http://ir.unimas.my/id/eprint/14955/1/Phishingwebpage-detection-usingweighted-URL-tokens-for-identity-keywords-retrieval_2017_Lecture-Notes-in-Electrical-Engineering.html |