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Cybersecurity maturity model for the protection and privacy of personal health data

  • Aaron Joseph Serrano Rojas
  • , Erick Fabrizzio Paniura Valencia
  • , Jimmy Armas-Aguirre
  • , Juan Manuel Madrid Molina
  • Universidad Peruana de Ciencias Aplicadas
  • Universidad ICESI

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

This paper proposes a cybersecurity maturity model to assess the capabilities of medical organizations to identify their level of maturity, prioritizing privacy and personal data protection. There are problems such as data breaches, the lack of security measures in health information, and the poor capacity of organizations to handle cybersecurity threats that generate concern in the health sector as they seek to mitigate risks in cyberspace. The proposal, based upon C2M2 (Cybersecurity Capability Maturity Model), incorporates practices and controls which allow organizations to identify security gaps generated through cyberattacks on sensitive health patient data. This model seeks to integrate the best practices related to privacy and protection of personal data in the Peruvian legal framework through the Administrative Directive No. 294-MINSA and the personal data protection Act No. 29733. The model consists of 3 evaluation phases. 1. Assessment planning; 2. Execution of the evaluation; 3. Implementation of improvements. The model was validated and tested in a public sector medical organization in Lima, Peru. The preliminary results showed that the organization is at Level 1 with 14% of compliance with established controls, 34% in risk, threat and vulnerability management practices and 19% in supply chain management. These the 3 highest percentages of the 10 evaluated domains.

Original languageEnglish
Title of host publicationProceedings of the 2022 IEEE 2nd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665456968
DOIs
StatePublished - 2022
Event2nd IEEE International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2022 - Lima, Peru
Duration: 16 Nov 202219 Nov 2022

Publication series

NameProceedings of the 2022 IEEE 2nd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2022

Conference

Conference2nd IEEE International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2022
Country/TerritoryPeru
CityLima
Period16/11/2219/11/22

Keywords

  • Data privacy
  • Health Information
  • Maturity Model

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