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SoK: Cybersecurity Regulations, Standards and Guidelines for the Healthcare Sector *
Open accessAbstract
The growing adoption of IT solutions in the healthcare sector is accompanied by a steady increase in cybersecurity incidents. In response to this phenomenon regulations, standards, and best practices have been introduced to address cybersecurity and data protection issues in this sector. However, applying this large corpus of documents poses several operational hurdles, while operators continue to lag behind the growing number of cyber attacks. This paper contributes a Systematization of Knowledge (SoK) of the main cybersecurity documents relevant to the healthcare sector. We collected and analyzed 49 relevant documents and used the NIST Cybersecurity Framework as a taxonomical instrument to categorize key information extracted through a three-step analysis. We provide and quantify seven findings emerging from this analysis and propose a way to exploit the extracted measures to support cybersecurity assessments.
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“Emerging technologies offer cybersecurity posture enhancement opportunities including Artificial Intelligence and Machine Learning for threat detection automation, Quantum Computing era preparation, Blockchain for critical infrastructure security, and Cloud Computing with security provisions (Carello et al., 2023).”
From Comprehensive Cybersecurity Framework for Digital Governance: Threat Assessment, Risk Mitigation, and Regulatory Compliance in Indonesia (2025) · cites this paper as Carello et al., 2023
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“Systematization of cybersecurity regulations demonstrates that comprehensive frameworks must address multiple dimensions: asset identification, threat assessment, vulnerability analysis, and risk calculation using Likelihood × Impact matrices (Carello et al., 2023).”
From Comprehensive Cybersecurity Framework for Digital Governance: Threat Assessment, Risk Mitigation, and Regulatory Compliance in Indonesia (2025) · cites this paper as Carello et al., 2023
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“Security audits often focus on compliance checklists rather than operational effectiveness (Carello et al., 2023).”
From Comprehensive Cybersecurity Framework for Digital Governance: Threat Assessment, Risk Mitigation, and Regulatory Compliance in Indonesia (2025) · cites this paper as Carello et al., 2023
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“Geopolitical motivation drives APT activities with strategic intelligence gathering objectives (Carello et al., 2023).”
From Comprehensive Cybersecurity Framework for Digital Governance: Threat Assessment, Risk Mitigation, and Regulatory Compliance in Indonesia (2025) · cites this paper as Carello et al., 2023
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Cited by
Sorted by citations
Mualim, W. M. A., Marta, F. Y. D., & Meiyenti, I. (2025) · Jurnal Teknik Informatika dan Teknologi Informasi · doi:10.55606/jutiti.v5i3.6379
Metadata
- Authors
- Carello, M. P., Marchetti-Spaccamela, A., Querzoni, L., & Angelini, M.
- Affiliations
- Sapienza University of Rome (IT)
- Venue
- 2023 IEEE International Conference on Intelligence and Security Informatics (ISI)
- Publisher
- IEEE
- Published
- 2023-10-02
- Pages
- 1-6
- OpenAlex
- W4388115871
- Cited by
- 25
- References
- 0
- Citations by year
- 2026: 9 · 2025: 10 · 2024: 6
- FWCI
- 4.81
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- IEEE International Conference on Intelligence and Security Informatics (ISI) (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Health Sciences › Health Professions › Health Information Management › Thoreau and American Literature
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Healthcare Regulation
- Keywords
- healthcare cybersecurity, cybersecurity regulation, cybersecurity standards, NIST Cybersecurity Framework, data protection, cybersecurity assessment, knowledge systematization, health information technology adoption, cyberattacks
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: SoK: Cybersecurity Regulations, Standards and Guidelines for the Healthcare Sector *. https://app.cochat.ai/papers/10.1109/isi58743.2023.10297246
- The paper
- Carello, M. P., Marchetti-Spaccamela, A., Querzoni, L., & Angelini, M. (2023). SoK: Cybersecurity Regulations, Standards and Guidelines for the Healthcare Sector *. 2023 IEEE International Conference on Intelligence and Security Informatics (ISI). https://doi.org/10.1109/isi58743.2023.10297246