PhiDMA – A phishing detection model with multi-filter approach
Phishing remains a basic security issue in the cyberspace. In phishing, assailants steal sensitive information from victims by providing a fake site which looks like the visual clone of a legitimate site. Phishing shall be handled using various approaches. It is established that single filter method...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-01-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157817301210 |
| _version_ | 1817976909101793280 |
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| author | Gunikhan Sonowal K.S. Kuppusamy |
| author_facet | Gunikhan Sonowal K.S. Kuppusamy |
| author_sort | Gunikhan Sonowal |
| collection | DOAJ |
| description | Phishing remains a basic security issue in the cyberspace. In phishing, assailants steal sensitive information from victims by providing a fake site which looks like the visual clone of a legitimate site. Phishing shall be handled using various approaches. It is established that single filter methods would be insufficient to detect different categories of phishing attempts. This paper provides a multilayer model to detect phishing, titled as PhiDMA(Phishing Detection using Multi-filter Approach). The PhiDMA model incorporates five layers: Auto upgrade whitelist layer, URL features layer, Lexical signature layer, String matching layer and Accessibility Score comparison layer. A prototype implementation of the proposed PhiDMA model is built with an accessible interface so that persons with visual impairments shall access it without any barrier. The result from the experiment shows that the model is capable to detect phishing sites with an accuracy of 92.72%. Keywords: Phishing, Information security, Accessibility, Whitelist, Hybrid phishing detection, Phishing signature |
| first_indexed | 2024-04-13T22:09:06Z |
| format | Article |
| id | doaj.art-8a0dd24cdfd04c1c9a09d374ae58e1b8 |
| institution | Directory Open Access Journal |
| issn | 1319-1578 |
| language | English |
| last_indexed | 2024-04-13T22:09:06Z |
| publishDate | 2020-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of King Saud University: Computer and Information Sciences |
| spelling | doaj.art-8a0dd24cdfd04c1c9a09d374ae58e1b82022-12-22T02:27:49ZengElsevierJournal of King Saud University: Computer and Information Sciences1319-15782020-01-0132199112PhiDMA – A phishing detection model with multi-filter approachGunikhan Sonowal0K.S. Kuppusamy1Department of Computer Science, School Of Engineering and Technology, Pondicherry University, Pondicherry 605014, IndiaCorresponding author.; Department of Computer Science, School Of Engineering and Technology, Pondicherry University, Pondicherry 605014, IndiaPhishing remains a basic security issue in the cyberspace. In phishing, assailants steal sensitive information from victims by providing a fake site which looks like the visual clone of a legitimate site. Phishing shall be handled using various approaches. It is established that single filter methods would be insufficient to detect different categories of phishing attempts. This paper provides a multilayer model to detect phishing, titled as PhiDMA(Phishing Detection using Multi-filter Approach). The PhiDMA model incorporates five layers: Auto upgrade whitelist layer, URL features layer, Lexical signature layer, String matching layer and Accessibility Score comparison layer. A prototype implementation of the proposed PhiDMA model is built with an accessible interface so that persons with visual impairments shall access it without any barrier. The result from the experiment shows that the model is capable to detect phishing sites with an accuracy of 92.72%. Keywords: Phishing, Information security, Accessibility, Whitelist, Hybrid phishing detection, Phishing signaturehttp://www.sciencedirect.com/science/article/pii/S1319157817301210 |
| spellingShingle | Gunikhan Sonowal K.S. Kuppusamy PhiDMA – A phishing detection model with multi-filter approach Journal of King Saud University: Computer and Information Sciences |
| title | PhiDMA – A phishing detection model with multi-filter approach |
| title_full | PhiDMA – A phishing detection model with multi-filter approach |
| title_fullStr | PhiDMA – A phishing detection model with multi-filter approach |
| title_full_unstemmed | PhiDMA – A phishing detection model with multi-filter approach |
| title_short | PhiDMA – A phishing detection model with multi-filter approach |
| title_sort | phidma a phishing detection model with multi filter approach |
| url | http://www.sciencedirect.com/science/article/pii/S1319157817301210 |
| work_keys_str_mv | AT gunikhansonowal phidmaaphishingdetectionmodelwithmultifilterapproach AT kskuppusamy phidmaaphishingdetectionmodelwithmultifilterapproach |