Name
Abstract | ||
|---|---|---|
Phishing attacks are growing in both volume and sophistication. The antiphishing method described here collects webpages with either a direct or indirect association with a given suspicious webpage. This enables the discovery of a webpage's so-called "parasitic" community and then ultimately its phishing target — that is, the page with the strongest parasitic relationship to the suspicious webpage. Finding this target lets users determine whether the given webpage is a phishing page. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/MIC.2011.103 | IEEE Internet Computing |
Keywords | Field | DocType |
phishing target,strongest parasitic relationship,phishing page,phishing target discovery,suspicious webpage,phishing attack,indirect association,antiphishing method,decision support systems,handheld computer,phishing,decision support system | World Wide Web,Web document analysis,Phishing,Web page,Computer science,Computer security,Decision support system,Sophistication | Journal |
Volume | Issue | ISSN |
16 | 2 | 1089-7801 |
Citations | PageRank | References |
3 | 0.42 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liu Wenyin | 1 | 2531 | 215.13 |
| Gang Liu | 2 | 83 | 4.93 |
| Bite Qiu | 3 | 81 | 4.28 |
| Xiaojun Quan | 4 | 260 | 20.64 |