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Book chapter · Preprint article · Conference paper

Community Targeted Phishing: A Middle Ground Between Massive and Spear Phishing Through Natural Language Generation

From

Örebro University1

Department of Applied Mathematics and Computer Science, Technical University of Denmark2

Embedded Systems Engineering, Department of Applied Mathematics and Computer Science, Technical University of Denmark3

Looking at today phishing panorama, we are able to identify two diametrically opposed approaches. On the one hand, massive phishing targets as many people as possible with generic and preformed texts. On the other hand, spear phishing targets high-value victims with hand-crafted emails. While nowadays these two worlds partially intersect, we envision a future where Natural Language Generation (NLG) techniques will enable attackers to target populous communities with machine-tailored emails.

In this paper, we introduce what we call Community Targeted Phishing (CTP), alongside with some workflows that exhibit how NLG techniques can craft such emails. Furthermore, we show how Advanced NLG techniques could provide phishers new powerful tools to bring up to the surface new information from complex data-sets, and use such information to threaten victims’ private data.

Language: English
Publisher: Springer
Year: 2020
Pages: 86-93
Proceedings: 6th International Conference in Software Engineering for Defence Applications
Series: Advances in Intelligent Systems and Computing
ISBN: 3030146863 , 3030146871 , 9783030146863 and 9783030146870
ISSN: 21945365 and 21945357
Types: Book chapter , Preprint article and Conference paper
DOI: 10.1007/978-3-030-14687-0_8
ORCIDs: Dragoni, Nicola
Other keywords

cs.CR cs.CY

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