Security of e-Health Systems and Connected Medical Devices
IEEE 35th International Symposium on Computer Based Medical Systems (CBMS)
This special track is a part of the 35th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS 2022), July 21, 22 & 23, 2022 - Shenzhen, China.
Aims and Scope
Healthcare organisations and protocols are increasingly dependent on IT systems and IoT devices, relying on them to provide patients with a better quality of care or even to offer 24/7 health care across borders, thanks to modern e-health services. This became even more evident since the COVID-19 pandemic, which highlighted that hospitals need secure, trustable and reliable exchange of health records and diagnosis. Remote medical care became the norm within the past few years. Despite the benefits, increasing reliance on healthcare on IT and IoT introduces security threats to the security of health information and patient records.
The aim of this special track is to offer a forum for research related to the security and resilience of smart health infrastructures that consider smart devices and systems, information security, medical devices security and interconnectivity, as well as usable and cost-effective solutions that promote resilience and fast recovery in case of incidents.
Topics of Interest
Health data privacy and security
Secure transactions of medical data
Cascading effects from combined complex threats
Cyber security of connected medical devices
AI/ML for improved cybersecurity
Semantic interoperability and reasoning on security data
Encryption of medical data
Privacy-preserving computations on medical data
Use Cases analysis and description
Usable security for healthcare systems
Federated learning on health data
Paper submission deadline
25 April 2022
12 May 2022
Notification of acceptance
23 May 2022
6 June 2022
Early registration deadline
6 June 2022
21 July 2022
All submissions close at 11:59 pm Anywhere On Earth [AOE]
Authors can submit both long/regular and short papers. Long papers may consist of up to six (6) Letter-sized pages. Long papers will be presented orally. The program committee may suggest the presentation of the paper as a short paper. Short papers may consist of up to four (4) Letter-sized pages. Short papers will be presented orally as short talks.
Each contribution must be prepared following the IEEE template, with 6 pages.
Papers must be submitted electronically using the EasyChair conference management system at: https://easychair.org/conferences/?conf=cbms2022 (choose the special track Security of e-Health Systems and Connected Medical Devices in the pop-down menu).
All submissions will be peer-reviewed by up to three reviewers of the Program Committee.
All accepted papers will be included in the conference proceedings and will be published by IEEE. Publication in proceedings is conditioned to the registration and presentation of the paper at the conference by one of their authors. If the paper is not presented at the conference, it will not be included in the proceedings.
Silvia Delgado Olabarriaga
Amsterdam University Medical Centers, University of Amsterdam, The Netherlands
Silvia is Assistant Professor of the Department of Epidemiology and Data Science of the Amsterdam University Medical Centers, Location AMC, University of Amsterdam. She leads the e-science research line, supervises PhD students, and teaches courses at the AMC Graduate School and Medical Informatics Bachelor and Master Programs.
Silvia is mainly interested in the usage of advanced information technology in scientific biomedical research. Her current activities include cybersecurity of medical applications in the cloud and machine learning applied to medical research, namely for automation of systematic reviews, predictive modelling of disease, cybersecurity and privacy protection. Silvia and her group participate in the H2020 ASCLEPIOS project (Advanced Secure Cloud Encrypted Platform for Internationally Orchestrated Solutions in Healthcare)) and in the new ITEA project Secur-e-health (Privacy preserving cross-organizational data analysis in the healthcare sector).
See more at: https://www.ebioscience.amc.nl/about-us/silvia-olabarriaga/
Instituto Superior de Engenharia do Porto, Portugal
Isabel is Coordinator Professor at the Department of Informatics Engineering, and a Senior Researcher at GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development. Research activities focus on the development of Intelligent Systems, using Artificial Intelligence techniques such as Multi-agent Systems, Machine Learning, Knowledge Discovery, among others. Current activities focus on applying AI to cyber security and the security of AI. Isabel is ISEP coordinator in several H2020 projects where Artificial Intelligence crosses with Cyber Security and with Safety. She’s scientific coordinator for SAFECARE - Integrated cyber-physical security for health services, H2020 787002.
See more at: https://orcid.org/0000-0002-2519-9859
CanaryBit and Lund University, Sweden
Nicolae is the CEO and co-founder of CanaryBit, a start-up enabling automated digital trust and confidential data collaboration. Apart from that Nicolae is an affiliated researcher at Lund University, Sweden. He is contributing to the standardization of workload management in trusted execution environments within the TEEP and RATS IETF Work Groups and the Confidential Computing Consortium. His current research interests include lifecycle management of confidential computing workloads, data governance and AI security.
See more at: https://orcid.org/0000-0003-0132-857X
Alexandros Bakas, Tampere University, Finland
Carlos Maziero, Federal University of Parana, Brazil
Dagmar Krefting, Medical University of Gottingen, Germany
David Mohaisen, University of Central Florida, USA
Diogo Mattos, Federal Fluminense University, Brazil
Ivo Emanuilov, KU Leuven, Belgium
Kassaye Yitbarek Yigzaw, Norwegian Centre for e-Health Research, Norway
Marcela Tuler de Oliveira, Amsterdam University Medical Centers, University of Amsterdam, The Netherlands
Melek Önen, EURECOM, France
Reda Yaich, IRT SystemX, France
Richard Sinnot, University of Melbourne, Australia
Simone Fischer-Huebner, Karlstad University, Sweden
Tamas Kiss, University of Westminster, England
Thomas Penzel, Charite Hospital Berlin, Germany
Yannis Verginadis, Athens University of Economics and Business and Institute of Communication and Computer Systems, Greece