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TheImpactofExtGlobalRansomAttacksonTrustAlexZarifisXC.pdf (283.32 kB)

The impact of extended global ransomware attacks on trust: How the attacker's competence and institutional trust influence the decision to pay

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conference contribution
posted on 2019-04-09, 08:37 authored by Alex Zarifis, Xusen Cheng
© 2018 Association for Information Systems. All rights reserved. The standardization, interconnectivity and pervasiveness of information systems, combined with the increasing ability to collect and utilize data, enhance the value they offer a user. These strengths however can also be turned into a weakness and vulnerability by ransomware (RW). RW can utilize the functionality of current systems both to infect them but also to increase the magnitude of the attack. This research proposes a model of the impact of the RW attack on the user's trust, which in turn has an effect on their decision to pay the ransom or follow the guidance from the relevant institutions. The model shows that the effectiveness of the attack, the trust in the competence of the attacker and ransomware demands that are reasonable and easy to fulfil, positively influence the intention to pay the ransom. The initial institutional response, institutional trust and institutional solution influence the intention to follow the institutional guidance.

History

School

  • Business and Economics

Department

  • Economics

Published in

Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018

Citation

ZARIFIS, A. and CHENG, X., 2018. The impact of extended global ransomware attacks on trust: How the attacker's competence and institutional trust influence the decision to pay. Presented at the 24th Americas Conference on Information Systems: Digital Disruption, New Orleans, United States 16-18 August 2018.

Publisher

© The Authors. Published by Association for Information Systems (AIS)

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2018

Notes

This is a conference paper.

ISBN

9780996683166

Language

  • en

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