This paper is in the following e-collection/theme issue:

Ethics, Privacy, and Legal Issues (456) Clinical Information and Decision Making (1314) Artificial Intelligence (1186)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41748, first published .
Artificial Intelligence–Based Ethical Hacking for Health Information Systems: Simulation Study

Artificial Intelligence–Based Ethical Hacking for Health Information Systems: Simulation Study

Artificial Intelligence–Based Ethical Hacking for Health Information Systems: Simulation Study

Authors of this article:

Ying He1 Author Orcid Image ;   Efpraxia Zamani2 Author Orcid Image ;   Iryna Yevseyeva3 Author Orcid Image ;   Cunjin Luo4, 5 Author Orcid Image
Article Authors Cited by (5) Tweetations (4) Metrics

Ying He   1 , PhD ;   Efpraxia Zamani   2 , PhD ;   Iryna Yevseyeva   3 , PhD ;   Cunjin Luo   4, 5 , PhD

1 School of Computer Science, University of Nottingham, Nottingham, United Kingdom

2 Information School, University of Sheffield, Sheffield, United Kingdom

3 School of Computer Science and Informatics, De Montfort University, Leicester, United Kingdom

4 School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom

5 Key Laboratory of Medical Electrophysiology, Ministry of Education & Medical Electrophysiological Key Laboratory of Sichuan Province, (Collaborative Innovation Center for Prevention of Cardiovascular Diseases), Institute of Cardiovascular Research, Southwest Medical University, Luzhou, China

Corresponding Author:

  • Cunjin Luo, PhD
  • School of Computer Science and Electronic Engineering
  • University of Essex
  • Wivenhoe Park
  • Colchester, CO4 3SQ
  • United Kingdom
  • Phone: 44 7493622995
  • Email: cunjin.luo@essex.ac.uk