A Case Study of Mobile Health Applications: The OWASP Risk of Insufficient Cryptography

Authors

  • Suzanna Schmeelk St. John’s University, United States
  • Lixin Tao Pace University, United States

DOI:

https://doi.org/10.30564/jcsr.v4i1.4271

Abstract

Mobile devices are being deployed rapidly for both private and professional reasons. One area of that has been growing is in releasing healthcare applications into the mobile marketplaces for health management. These applications help individuals track their own biorhythms and contain sensitive information. This case study examines the source code of mobile applications released to GitHub for the Risk of Insufficient Cryptography in the Top Ten Mobile Open Web Application Security Project risks. We first develop and justify a mobile OWASP Cryptographic knowledgegraph for detecting security weaknesses specific to mobile applications which can be extended to other domains involving cryptography. We then analyze the source code of 203 open source healthcare mobile applications and report on their usage of cryptography in the applications. Our findings show that none of the open source healthcare applications correctly applied cryptography in all elements of their applications. As humans adopt healthcare applications for managing their health routines, it is essential that they consider the privacy and security risks they are accepting when sharing their data. Furthermore, many open source applications and developers have certain environmental parameters which do not mandate adherence to regulations. In addition to creating new free tools for security risk identifications during software development such as standalone or compiler-embedded, the article suggests awareness and training modules for developers prior to marketplace software release.

Keywords:

OWASP mobile threats; Cryptography; Mobile application; mHealth; Healthcare; Android

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How to Cite

Schmeelk, S., & Tao, L. (2022). A Case Study of Mobile Health Applications: The OWASP Risk of Insufficient Cryptography. Journal of Computer Science Research, 4(1), 22–31. https://doi.org/10.30564/jcsr.v4i1.4271

Issue

Vol. 4 , Iss. 1 (January 2022)

Article Type

Article

License

Copyright © 2022 Author(s)

Creative Commons License

This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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