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Community Targeted Phishing: A Middle Ground Between Massive and Spear Phishing through Natural Language Generation
Örebro universitet, Institutionen för naturvetenskap och teknik. (Machine Perception & Interaction)ORCID-id: 0000-0001-9293-7711
Örebro universitet, Institutionen för naturvetenskap och teknik. DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark. (Centre for Applied Autonomous Sensor Systems (AASS))ORCID-id: 0000-0001-9575-2990
2018 (Engelska)Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
2018.
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Datavetenskap
Identifikatorer
URN: urn:nbn:se:oru:diva-71862OAI: oai:DiVA.org:oru-71862DiVA, id: diva2:1283035
Konferens
6th International Conference in Software Engineering for Defence Applications (SEDA 2018), Rome, Italy, June 7-8, 2018
Tillgänglig från: 2019-01-28 Skapad: 2019-01-28 Senast uppdaterad: 2019-02-01Bibliografiskt granskad

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Giaretta, AlbertoDragoni, Nicola

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