Feature-based phishing detection technique
Phishing is an Internet fraud to entice unsuspecting victims. The tactic of phishing is to impersonate the trusted entities by employing both social engineering and technical subterfuge. Moreover, phishing is a form of online identity theft that creates a fake copy of popular site. There are many ty...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Asian Research Publishing Network
2016
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/13943/ http://ir.unimas.my/id/eprint/13943/7/FEATURE-BASED%20PHISHING%20DETECTION%20TECHNIQUE%20%28abstract%29.pdf |
| _version_ | 1848837531002470400 |
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| author | Xin, Mei Choo Kang, Leng Chiew Dayang Hanani, Abang Ibrahim Nadianatra, Musa San, Nah Sze Wei, King Tiong |
| author_facet | Xin, Mei Choo Kang, Leng Chiew Dayang Hanani, Abang Ibrahim Nadianatra, Musa San, Nah Sze Wei, King Tiong |
| author_sort | Xin, Mei Choo |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | Phishing is an Internet fraud to entice unsuspecting victims. The tactic of phishing is to impersonate the trusted entities by employing both social engineering and technical subterfuge. Moreover, phishing is a form of online identity theft that creates a fake copy of popular site. There are many types of anti-phishing techniques available. However, they are mostly still in the infancy stage which may give false alarm to the user. Therefore, this research aims to develop a feature-based phishing detection technique to overcome the limitation. The proposed method involves aggregating new features with several existing features to form a sensitive features set. Based on the features set, the proposed method will utilise support vector machine to perform the classification. The experimental results show convincing performance with 95.33 percent of accuracy. |
| first_indexed | 2025-11-15T06:41:08Z |
| format | Article |
| id | unimas-13943 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:41:08Z |
| publishDate | 2016 |
| publisher | Asian Research Publishing Network |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-139432022-09-29T06:05:33Z http://ir.unimas.my/id/eprint/13943/ Feature-based phishing detection technique Xin, Mei Choo Kang, Leng Chiew Dayang Hanani, Abang Ibrahim Nadianatra, Musa San, Nah Sze Wei, King Tiong QA75 Electronic computers. Computer science Phishing is an Internet fraud to entice unsuspecting victims. The tactic of phishing is to impersonate the trusted entities by employing both social engineering and technical subterfuge. Moreover, phishing is a form of online identity theft that creates a fake copy of popular site. There are many types of anti-phishing techniques available. However, they are mostly still in the infancy stage which may give false alarm to the user. Therefore, this research aims to develop a feature-based phishing detection technique to overcome the limitation. The proposed method involves aggregating new features with several existing features to form a sensitive features set. Based on the features set, the proposed method will utilise support vector machine to perform the classification. The experimental results show convincing performance with 95.33 percent of accuracy. Asian Research Publishing Network 2016-09-15 Article PeerReviewed text en http://ir.unimas.my/id/eprint/13943/7/FEATURE-BASED%20PHISHING%20DETECTION%20TECHNIQUE%20%28abstract%29.pdf Xin, Mei Choo and Kang, Leng Chiew and Dayang Hanani, Abang Ibrahim and Nadianatra, Musa and San, Nah Sze and Wei, King Tiong (2016) Feature-based phishing detection technique. Journal of Theoretical and Applied Information Technology, 91 (1). pp. 101-106. ISSN 1992-8645 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84987816114&partnerID=40&md5=e1d4439870306665643c6b31f372cbab |
| spellingShingle | QA75 Electronic computers. Computer science Xin, Mei Choo Kang, Leng Chiew Dayang Hanani, Abang Ibrahim Nadianatra, Musa San, Nah Sze Wei, King Tiong Feature-based phishing detection technique |
| title | Feature-based phishing detection technique |
| title_full | Feature-based phishing detection technique |
| title_fullStr | Feature-based phishing detection technique |
| title_full_unstemmed | Feature-based phishing detection technique |
| title_short | Feature-based phishing detection technique |
| title_sort | feature-based phishing detection technique |
| topic | QA75 Electronic computers. Computer science |
| url | http://ir.unimas.my/id/eprint/13943/ http://ir.unimas.my/id/eprint/13943/ http://ir.unimas.my/id/eprint/13943/7/FEATURE-BASED%20PHISHING%20DETECTION%20TECHNIQUE%20%28abstract%29.pdf |