
doi: 10.1109/msp.2011.161
Beyond some specific vertical markets that have been dealing with fraud for ages such as financial institutions and retailers most software and services have zero ability to detect someone committing fraud against them or their users. Most sites happily take whatever requests and input users give them, thinking it's legitimate.Fortunately, there are fairly straightforward things every website can do to detect online fraud.
| 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). | 3 | |
| 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). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
