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Journal of Cybersecurity
Article . 2018 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Journal of Cybersecurity
Article
License: CC BY
Data sources: UnpayWall
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DBLP
Article . 2018
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A taxonomy of cyber-harms: Defining the impacts of cyber-attacks and understanding how they propagate

Authors: Agrafiotis, I; Nurse, J; Goldsmith, M; Creese, S; Upton, D;

A taxonomy of cyber-harms: Defining the impacts of cyber-attacks and understanding how they propagate

Abstract

Technological advances have resulted in organisations digitalizing many parts of their operations. The threat landscape of cyber-attacks is rapidly changing and the potential impact of such attacks is uncertain, because there is a lack of effective metrics, tools and frameworks to understand and assess the harm organisations face from cyber-attacks. In this paper, we reflect on the literature on harm, and how it has been conceptualised in disciplines such as criminology and economics, and investigate how other notions such as risk and impact relate to harm. Based on an extensive literature survey and on reviewing news articles and databases reporting cyber-incidents, cybercrimes, hacks and other attacks, we identify various types of harm and create a taxonomy of cyber-harms encountered by organisations. This taxonomy comprises five broad themes: physical or digital harm; economic harm; psychological harm; reputational harm; and social and societal harm. In each of these themes we present several cyber-harms that can result from cyber-attacks. To provide initial indications about how these different types of harm are connected and how cyber-harm in general may propagate, this article also analyses and draws insight from four real-world case studies, involving Sony (2011 and 2014), JPMorgan and Ashley Madison. We conclude by arguing for the need for analytical tools for organisational cyber-harm, which can be based on a taxonomy such as the one we propose here. These would allow organisations to identify corporate assets, link these to different types of cyber-harm, measure those harms and, finally, consider the security controls needed for the treatment of harm.

Country
United Kingdom
Keywords

QA75, H, T, BF41

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    selected citations
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    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).
    273
    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.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
273
Top 0.1%
Top 1%
Top 1%
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gold