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Community Targeted Phishing: A Middle Ground Between Massive and Spear Phishing through Natural Language Generation
Örebro University, School of Science and Technology. (Machine Perception & Interaction)ORCID iD: 0000-0001-9293-7711
Örebro University, School of Science and Technology. DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark. (Centre for Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0001-9575-2990
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Looking at today spam and phishing panorama, we are able to identify two diametrically opposed approaches. On the one hand we have general spam, which targets as much as people as possible with generic and pre-formed texts; on the other hand we have very specific emails, handcrafted to target high-value targets. While nowadays these two worlds don't intersect at all, 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 Spam (CTS), alongside with some workflows that exhibit how this all could be implemented. Furthermore, we suggest some preliminary directions that scientific community should consider to take, in order to address our concerns.

Place, publisher, year, edition, pages
2018.
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-71862OAI: oai:DiVA.org:oru-71862DiVA, id: diva2:1283035
Conference
6th International Conference in Software Engineering for Defence Applications (SEDA 2018), Rome, Italy, June 7-8, 2018
Available from: 2019-01-28 Created: 2019-01-28 Last updated: 2019-02-01Bibliographically approved

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Giaretta, AlbertoDragoni, Nicola

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf