
doi: 10.1109/nca.2009.13
This paper describes a set of innovative attribute based checks for defending against phishing attacks. We explain a number of anti-phishing algorithms implemented as plugins and highlight which attributes of phishing sites they consider.To assess the effectiveness and applicability of this prototype,we performed extensive experimental testing. We present a fully automated crawling framework that we developed for testing,along with the main experimental results.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
