Cited by 79Information and Cyber SecurityIoT and Edge/Fog ComputingInternet of Things and AI

Cybersecurity for Connected Diabetes Devices

Open access
Klonoff, David C.·2015·Journal of Diabetes Science and Technology

Abstract

Diabetes devices are increasingly connected wirelessly to each other and to data-displaying reader devices. Threats to the accurate flow of information and commands may compromise the function of these devices and put their users at risk of health complications. Sound cybersecurity of connected diabetes devices is necessary to maintain confidentiality, integrity, and availability of the data and commands. Diabetes devices can be hacked by unauthorized agents and also by patients themselves to extract data that are not automatically provided by product software. Unauthorized access to connected diabetes devices has been simulated and could happen in reality. A cybersecurity standard designed specifically for connected diabetes devices will improve the safety of these products and increase confidence of users that the products will be secure.

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Crossref · 10.1177/1932296815583334

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Authors
Klonoff, D. C.
Affiliations
Mills Peninsula Health Services (US)
Corresponding author
Klonoff, David C.
Venue
Journal of Diabetes Science and Technology
Published
2015-04-16
Volume
9
Issue
5
Pages
1143-1147
ISSN
1932-2968 (ISSN-L)
OpenAlex
W2012184262
Cited by
79
References
0
Citations by year
2026: 5 · 2025: 5 · 2024: 10 · 2023: 7 · 2022: 7 · 2021: 11 · 2020: 10 · 2019: 9 · 2018: 7 · 2017: 4 · 2016: 2 · 2015: 2
FWCI
13.49
Type
journal article
Language
en
Open access
Locations
  • Journal of Diabetes Science and Technology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
Keywords
diabetes technology, cybersecurity, IoT devices, wireless communication, unauthorized access, data confidentiality, data integrity, availability, cybersecurity standards, patient data privacy
MeSH terms
Diabetes Mellitus, Humans, Biosensing Techniques, Computer Security, Monitoring, Ambulatory

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