Cited by 6Mobile Health and mHealth ApplicationsIoT and Edge/Fog ComputingPrivacy, Security, and Data Protection

Simulation environment for testing security and privacy of mobile health apps

Alexander Mense, Philipp Urbauer, Stefan Sauermann, Harald Wahl·2016·Modeling and Simulation in Medicine Symposium (MSM 2016)

Abstract

The number of mobile applications (apps) is tremendously growing and accordingly also the number of apps in the health domain (mobile Health or mHealth) is multiplying. As these mHealth apps process personal and sensitive data the analysis of handling security and privacy is a vital requirement - even more when the mobile application are to be used in a professional medical environment, such as a telemonitoring setup. Therefore a framework for testing security and privacy of mHealth apps is an important step towards better quality of apps. The paper describes the main challenges, the simulation architecture and the involved tools used for testing mHealth applications, focusing on secure network connectivity and data transfer.

Integrity signals

Registry

Crossref · 10.22360/springsim.2016.msm.008

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Within the subset of new evaluation frameworks, only 20% (2/7) of papers included a description of the application or validation of the suggested evaluation framework.

    “Within this subset of studies, only 20% (2/7) of papers included a description of the application or validation of the suggested evaluation framework [64], [91].”

Cited by

Sorted by citations

Authors
Mense, A., Urbauer, P., Sauermann, S., & Wahl, H.
Affiliations
University of Applied Sciences Technikum Wien (AT)
Venue
Modeling and Simulation in Medicine Symposium (MSM 2016)
Published
2016
OpenAlex
W2551355593
Cited by
6
References
0
Citations by year
2021: 1 · 2020: 5
FWCI
0.00
Type
conference paper
Language
en
Open access
closed
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
Keywords
mobile health apps, simulation environment, secure data transmission, remote patient monitoring, sensitive health data

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review