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Journal of Investigative Psychology and Offender Profiling
Article . 2017 . Peer-reviewed
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On the anatomy of social engineering attacks—A literature‐based dissection of successful attacks

A literature-based dissection of successful attacks
Authors: Bullée, Jan Willem Hendrik (author); Montoya, Lorena (author); Pieters, W. (author); Junger, M. (author); Hartel, P.H. (author);

On the anatomy of social engineering attacks—A literature‐based dissection of successful attacks

Abstract

AbstractThe aim of this study was to explore the extent to which persuasion principles are used in successful social engineering attacks. Seventy‐four scenarios were extracted from 4 books on social engineering (written by social engineers) and analysed. Each scenario was split into attack steps, containing single interactions between offender and target. For each attack step, persuasion principles were identified. The main findings are that (a) persuasion principles are often used in social engineering attacks, (b) authority (1 of the 6 persuasion principles) is used considerably more often than others, and (c) single‐principle attack steps occur more often than multiple‐principle ones. The social engineers identified in the scenarios more often used persuasion principles compared to other social influences. The scenario analysis illustrates how to exploit the human element in security. The findings support the view that security mechanisms should include not only technical but also social countermeasures.

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Netherlands
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Keywords

Deception, Information security, Social Engineering, Information Security, Literature study, Persuasion, UT-Hybrid-D, Social engineering, 300

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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