Protecting connected medical devices through microsegmentation

With the increasing integration of technology in healthcare, medical devices have become an essential part of patient care. However, the growing connectivity of these devices poses significant cybersecurity challenges including ransomware, malware, data breaches and DDoS.

Marur, Veena, 2023

Art der Arbeit Master Thesis
Auftraggebende
Betreuende Dozierende Scherb, Christopher, Senn, Tim
Keywords
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Medical devices such as wearables, ingestible sensors, and point -of- care diagnostic equipment is vulnerable to cyber threats that can be compromised by malicious actors putting patient safety, privacy, and integrity of healthcare systems at risk. Microsegmentation offers promising solution to the cybersecurity risks but also comes with challenges. This research paper aims to address the challenge of reducing the complexity of security policies of microsegmentation in order to enhance their effectiveness and ease of implementation. Security policies play a crucial role in protecting sensitive data and ensuring the integrity of systems and networks. However, complex security policies can hinder their successful deployment and management. This paper highlights the significance of simplifying security policies to promote widespread adoption and improve overall security posture.
The findings of this research are based on a comprehensive analysis of existing literature and interviews conducted with relevant stakeholders. A thorough review of scholarly articles, research papers, industry reports, and best practices in the field of security policies and their complexity was carried out. This literature research provided valuable insights into the challenges and potential solutions related to reducing the complexity of security policies.
By combining the findings from literature research and interviews, this research presents a comprehensive understanding of the complexities of security policies that hinder the adoption of microsegmentation and proposes framework with actionable insights to address these challenges.
Studiengang: Business Information Systems (Master)
Vertraulichkeit: öffentlich
Art der Arbeit
Master Thesis
Autorinnen und Autoren
Marur, Veena
Betreuende Dozierende
Scherb, Christopher, Senn, Tim
Publikationsjahr
2023
Sprache der Arbeit
Englisch
Vertraulichkeit
öffentlich
Studiengang
Business Information Systems (Master)
Standort Studiengang
Olten