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A principlist framework for cybersecurity ethics

Formosa, Paul, Wilson, Michael, Richards, Deborah·2021·Computers & Security

DOI 10.1016/j.cose.2021.102382

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“…2020] ); avoiding bias (e.g. ensuring cybersecurity technology, such as facial recognition in security cameras, is not biased against minorities [Hagendorff, 2020] ); providing accessibility and usability (e.g. people need to be able to access and use information and systems, and some…”
Background
The Ethics of AI Ethics -- An Evaluation of Guidelines
Hagendorff, T. (2019) · arXiv · doi:10.48550/arxiv.1903.03425 · Cited by 1,907 · cited 2×
“…2020] ); avoiding bias (e.g. ensuring cybersecurity technology, such as facial recognition in security cameras, is not biased against minorities [Hagendorff, 2020] ); providing accessibility and usability (e.g. people need to be able to access and use information and systems, and some…”
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“First, because it is by far the most common approach to cybersecurity ethics, and it is also the most common approach in other areas of applied ethics, such as bioethics ( Shea, 2020a ) and AI ethics ( Floridi and Cowls, 2019 ; Hagendorff, 2020 ).”
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Authors: Formosa, P., Wilson, M., & Richards, D.
Affiliations: Macquarie University (AU)
Murdoch University (AU)
Corresponding author: Formosa, Paul
ORCID: Formosa, Paul
Wilson, Michael
Richards, Deborah
Venue: Computers & Security
Publisher: Elsevier BV
Published: 2021-10
Volume: 109
Pages: 102382
ISSN: 0167-4048 (ISSN-L)
DOI: 10.1016/j.cose.2021.102382
OpenAlex: W3173450473
Cited by: 105
References: 87
Citations by year: 2026: 16 · 2025: 22 · 2024: 30 · 2023: 23 · 2022: 12 · 2021: 2
FWCI: 15.14
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
doi.org/10.15223/policy-017 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
doi.org/10.15223/policy-012 (stm-asf)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-004 (stm-asf)
Locations: Computers & Security (publishedVersion)
Murdoch University Research Portal (submittedVersion)
PhilPapers (PhilPapers Foundation) (submittedVersion)
Funders: Australian Research Council
Topics: Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Ethics in Business and Education
Keywords: cybersecurity ethics, ethical principles, beneficence, non-maleficence, autonomy, justice, explainability, penetration testing, DDoS attacks, ransomware, system administration, ethical expertise

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