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Abstract

Being able to identify likely trends is the core of building better countermeasures. This chapter describes a light-weight approach to identifying differences in user vulnerabilities. That allows us to quantify vulnerabilities before they are actively abused. By being able to anticipate what fraudsters will be likely to do eventually, it is possible to build countermeasures that address big open vulnerabilities.

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References

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© 2016 Springer Science+Business Media New York

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Yen, TF., Jakobsson, M. (2016). Predicting Trends. In: Jakobsson, M. (eds) Understanding Social Engineering Based Scams. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-6457-4_3

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  • DOI: https://doi.org/10.1007/978-1-4939-6457-4_3

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4939-6455-0

  • Online ISBN: 978-1-4939-6457-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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