The number of Internet scams has increased in recent years. According to a survey by the Federal Trade Commission, more than one out of every ten adult Americans fall victim to scams every year, where a third of these scams originated on the Internet. However, it is well understood that surveys of victimization and losses severely underestimate the problem, since victims are unwilling to come forward due to embarrassment or resignation. This paper attempts to gain a better understanding of the problem by directly quantifying the extent to which users are vulnerable to scams.We design and carry out experiments to estimate the fraction of scam messages that bypass commercial spam lters (i.e., messages that land in the user's inbox); and to assess the probability that a delivered message will be considered harmless by its recipient. The latter experiment provides evidence that recent scams - many of which are targeted are substantially more credible to typical users than "traditional" scam.
The number of Internet scams has increased in recent years. According to a survey by the Federal Trade Commission, more than one out of every ten adult Americans fall victim to scams every year, where a third of these scams originated on the Internet. However, it is well understood that surveys of victimization and losses severely underestimate the problem, since victims are unwilling to come forward due to embarrassment or resignation. This paper attempts to gain a better understanding of the problem by directly quantifying the extent to which users are vulnerable to scams.
We design and carry out experiments to estimate the fraction of scam messages that bypass commercial spam lters (i.e., messages that land in the user's inbox); and to assess the probability that a delivered message will be considered harmless by its recipient. The latter experiment provides evidence that recent scams - many of which are targeted are substantially more credible to typical users than "traditional" scam.