期刊名称：Journal of King Saud University @?C Computer and Information Sciences
印刷版ISSN：1319-1578
出版年度：2020
卷号：32
期号：1
页码：99-112
DOI：10.1016/j.jksuci.2017.07.005
出版社：Elsevier
摘要：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( Phi shing D etection using M ulti-filter A pproach). 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%.
