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Zhou, P., Zhou, G., Wu, D. and Fei, M. (2021) Detecting Multi-Stage Attacks Using Sequence-to-Sequence Model. Computers & Security, 105, Article ID: 102203.
https://doi.org/10.1016/j.cose.2021.102203

has been cited by the following article:

• TITLE: A Literature Review: Potential Effects That Health Apps on Mobile Devices May Have on Patient Privacy and Confidentiality

  AUTHORS: Anna Sheri George, Jomin George, Judy Jenkins

  KEYWORDS: Mobile Devices, Patient Privacy, Confidentiality Breaches, Data Security, Data Protection, Regulatory Compliance, User Consent, Data Encryption, Third-Party Integration, User Awareness

  JOURNAL NAME: E-Health Telecommunication Systems and Networks, Vol.13 No.3, August 9, 2024

  ABSTRACT: Purpose: This research aims to evaluate the potential threats to patient privacy and confidentiality posed by mHealth applications on mobile devices. Methodology: A comprehensive literature review was conducted, selecting eighty-eight articles published over the past fifteen years. The study assessed data gathering and storage practices, regulatory adherence, legal structures, consent procedures, user education, and strategies to mitigate risks. Results: The findings reveal significant advancements in technologies designed to safeguard privacy and facilitate the widespread use of mHealth apps. However, persistent ethical issues related to privacy remain largely unchanged despite these technological strides.