(De-)Constructing Attacker Categorisations : A Typology Iteration for the Case of Digital Banking. / Moeckel, Caroline.

In: Journal of Universal Computer Science, Vol. 26, No. 7, 28.07.2020, p. 783-804.

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(De-)Constructing Attacker Categorisations : A Typology Iteration for the Case of Digital Banking. / Moeckel, Caroline.

In: Journal of Universal Computer Science, Vol. 26, No. 7, 28.07.2020, p. 783-804.

Research output: Contribution to journalArticlepeer-review

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Moeckel, Caroline. / (De-)Constructing Attacker Categorisations : A Typology Iteration for the Case of Digital Banking. In: Journal of Universal Computer Science. 2020 ; Vol. 26, No. 7. pp. 783-804.

BibTeX

@article{7b9060e7d61a4a28a3e399746da07909,
title = "(De-)Constructing Attacker Categorisations: A Typology Iteration for the Case of Digital Banking",
abstract = "This article appears in the J.UCS Special Issue on Information Security Methodology, Replication Studies and Information Security Education. In this extended and updated paper (based on the author's paper presented at the 1st International Workshop on Information Security Methodology and Replication Studies, co-organised with ARES 2019), the experimental construction of a new attacker typology grounded in real-life data is proposed, using grounded theory analysis and over 300 publicly available documents containing details of digital banking related cybercrime and involved attackers. Seven attacker profiles forming the typology specific to the case of digital banking are presented. An initial light-touch evaluation approach based on peer review feedback and basic heuristics is suggested. A short excursus on circumplex models is added to address this visualisation tool used across past categorisation efforts. ",
author = "Caroline Moeckel",
year = "2020",
month = jul,
day = "28",
language = "English",
volume = "26",
pages = "783--804",
journal = "Journal of Universal Computer Science",
issn = "0948-6968",
publisher = "Technische Universitat Graz from Austria",
number = "7",

}

RIS

TY - JOUR

T1 - (De-)Constructing Attacker Categorisations

T2 - A Typology Iteration for the Case of Digital Banking

AU - Moeckel, Caroline

PY - 2020/7/28

Y1 - 2020/7/28

N2 - This article appears in the J.UCS Special Issue on Information Security Methodology, Replication Studies and Information Security Education. In this extended and updated paper (based on the author's paper presented at the 1st International Workshop on Information Security Methodology and Replication Studies, co-organised with ARES 2019), the experimental construction of a new attacker typology grounded in real-life data is proposed, using grounded theory analysis and over 300 publicly available documents containing details of digital banking related cybercrime and involved attackers. Seven attacker profiles forming the typology specific to the case of digital banking are presented. An initial light-touch evaluation approach based on peer review feedback and basic heuristics is suggested. A short excursus on circumplex models is added to address this visualisation tool used across past categorisation efforts.

AB - This article appears in the J.UCS Special Issue on Information Security Methodology, Replication Studies and Information Security Education. In this extended and updated paper (based on the author's paper presented at the 1st International Workshop on Information Security Methodology and Replication Studies, co-organised with ARES 2019), the experimental construction of a new attacker typology grounded in real-life data is proposed, using grounded theory analysis and over 300 publicly available documents containing details of digital banking related cybercrime and involved attackers. Seven attacker profiles forming the typology specific to the case of digital banking are presented. An initial light-touch evaluation approach based on peer review feedback and basic heuristics is suggested. A short excursus on circumplex models is added to address this visualisation tool used across past categorisation efforts.

M3 - Article

VL - 26

SP - 783

EP - 804

JO - Journal of Universal Computer Science

JF - Journal of Universal Computer Science

SN - 0948-6968

IS - 7

ER -