Abstract
This chapter describes a novel content-based detection method based on the semantics—or meaning—of messages. This is a powerful tool since scammers commonly change formulations but rarely change storylines. We use examples related to the stranded traveler scam, which is a common result of account take-overs, whether of email or of Facebook accounts. We note that the same methods can be applied to an array of other types of scams—in fact, all but scams employing extremely short messages and those that do not rely on a fixed storyline, such as some classes of romance scams (see Chap. 10)
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Notes
- 1.
We use the term “ham” to mean “not spam and not scam”, as described in Chap. 5 The common use of the term is simply “not spam”.
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© 2016 Springer Science+Business Media New York
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Jakobsson, M. (2016). Semantic Analysis of Messages. In: Jakobsson, M. (eds) Understanding Social Engineering Based Scams. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-6457-4_7
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DOI: https://doi.org/10.1007/978-1-4939-6457-4_7
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4939-6455-0
Online ISBN: 978-1-4939-6457-4
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