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Ransomware and reputation

  • Anna Cartwright
  • , Edward Cartwright
    • De Montfort University

    Research output: Contribution to journalArticlepeer-review

    126 Downloads (Pure)

    Abstract

    Ransomware is a particular form of cyber-attack in which a victim loses access to either his electronic device or files unless he pays a ransom to criminals. A criminal’s ability to make money from ransomware critically depends on victims believing that the criminal will honour ransom payments. In this paper we explore the extent to which a criminal can build trust through reputation. We demonstrate that there are situations in which it is optimal for the criminal to always return the files and situations in which it is not. We argue that the ability to build reputation will depend on how victims distinguish between different ransomware strands. If ransomware is to survive as a long term revenue source for criminals then they need to find ways of building a good reputation.

    Original languageEnglish
    Article number26
    Number of pages15
    JournalGames
    Volume10
    Issue number2
    DOIs
    Publication statusPublished - 10 Jun 2019
    Event10th Conference on Decision and Game Theory for Security - Stockholm, Sweden
    Duration: 30 Oct 20191 Nov 2019
    https://www.gamesec-conf.org/

    Bibliographical note

    This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution
    (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

    Funding

    Funding: This research was funded by the Engineering and Physical Sciences Research Council (EPSRC) for project EP/P011772/1 on the EconoMical, PsycHologicAl and Societal Impact of RanSomware (EMPHASIS).

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 16 - Peace, Justice and Strong Institutions
      SDG 16 Peace, Justice and Strong Institutions

    Keywords

    • Ransomware
    • Repeated game
    • Reputation
    • Trust

    ASJC Scopus subject areas

    • Statistics and Probability
    • Statistics, Probability and Uncertainty
    • Applied Mathematics

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