Cybersecurity for Wearable Healthcare Systems: A Systematic Review of Threats, Defense Mechanisms, and AI-Driven Protection Models

SLR titled: "Cybersecurity for Wearable Healthcare Systems: A Systematic Review of Threats, Defense Mechanisms, and AI-Driven Protection Models".The main purpose is to detect attacks in wearable devices while collecting patient's health signals.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-22
DOI
https://doi.org/10.5281/zenodo.17990972
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Cybersecurity for Wearable Healthcare Systems: A Systematic Review of Threats, Defense Mechanisms, and AI-Driven Protection Models

Nazia Zafaryab, Usman Ali, Faqeeha Khanam
Zenodo (CERN European Organization for Nuclear Research)
Wireless Body Area Networks
article

Cybersecurity for Wearable Healthcare Systems: A Systematic Review of Threats, Defense Mechanisms, and AI-Driven Protection Models

Nazia Zafaryab, Usman Ali, Faqeeha Khanam
article en

Abstract

SLR titled: "Cybersecurity for Wearable Healthcare Systems: A Systematic Review of Threats, Defense Mechanisms, and AI-Driven Protection Models".The main purpose is to detect attacks in wearable devices while collecting patient's health signals.

Zenodo (CERN European Organization for Nuclear Research)
University of Education (PK)
Openalex Percentile: Top 43%
Wireless Body Area Networks
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Cybersecurity for Wearable Healthcare Systems: A Systematic Review of Threats, Defense Mechanisms, and AI-Driven Protection Models — Nazia Zafaryab, Usman Ali, et al. · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS