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Analyzing and Detecting Phishing Webpages with Visual Similarity Assessment Based on Earth Mover ’ S Distance with Linear Programming Model
| Content Provider | Semantic Scholar |
|---|---|
| Author | Revathy, N. P. Guhan, T. |
| Copyright Year | 2012 |
| Abstract | Phishing is an emerging type of social engineering crime on the Web. Most phishers initiates attacks by sending emails to potential victims. These emails lure users to access fake websites, and induce them to expose sensitive and/or private information. The rapid development and evolution of phishing techniques pose a big challenge in Web identity security for computer science researchers in both academia and industry. Advanced counter measures are required in urgency. All phishing attacks spoof users from the visual level and semantic level, i.e., they make the appearances of web pages look similar to the real ones and make the web links and web page contents semantically related to the real ones. In this work, Earth Mover’s Distance (EMD), is used with linear programming model to assess the visual features’ similarity. The retrieved web pages are converted into images and EMD is used to calculate their similarities to the protected web pages. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.technicaljournalsonline.com/ijeat/VOL%20III/IJAET%20VOL%20III%20ISSUE%20I%20JANUARY%20MARCH%202012/74%20IJAET%20Vol%20III%20Issue%20I%202012.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |