Survey on security and privacy in Internet of Things‐based eHealth applications: Challenges, architectures, and future directions

Author:

Makina Hela1ORCID,Letaifa Asma Ben1,Rachedi Abderrezak2

Affiliation:

1. Mediatron Lab, SupCom University of Carthage Tunis Tunisia

2. Computer Science Lab. (LIGM UMR8049) Gustave Eiffel University, CNRS Marne‐la‐Vallée France

Abstract

AbstractThe integration of Internet of Things (IoT) technology into electronic health (eHealth) applications has revolutionized the healthcare landscape, enabling real‐time patient monitoring, personalized care, and improved patient outcomes. However, this convergence of IoT and healthcare also introduces critical security and privacy challenges, needing careful consideration. This survey comprehensively explores the multifaceted realm of security and privacy issues in IoT‐based eHealth applications. First, we taxonomize the diverse security threats that arise due to the interconnected nature of IoT medical devices. Additionally, we highlight privacy concerns stemming from the collection and sharing of personal health information, while reconciling them with the need for accessible and collaborative healthcare ecosystems. Second, we synthesize functional, ethical, and regulatory perspectives to pick up the major requirements needed in the context of eHealth data during their whole lifecycle, from creation to destruction. Third, we identify emerging research strategies employed to address security and privacy concerns, such as cloud‐based solutions, decentralized technologies such as blockchain technology and InterPlanetary File System (IPFS), cryptographic approaches, fine‐grained access control strategies, and so forth. Additionally, we examine the impact of these approaches on computational efficiency, latency, and energy consumption, critically evaluating their suitability in the healthcare context. Building upon this comprehensive assessment, we outline potential future research directions aimed at advancing security and privacy measures in IoT‐based eHealth applications.

Publisher

Wiley

Subject

Modeling and Simulation

Reference66 articles.

1. Security requirements of internet of things‐based healthcare system: a survey study;Nasiri S;Acta Inform Med,2019

2. Internet of things: taxonomy of various attacks;Raghuvanshi A;Eur J Mol Clin Med,2020

3. Internet‐of‐things security and vulnerabilities: taxonomy, challenges, and practice;Chen K;J Hardw Syst Secur,2018

4. Privacy preserving mechanisms for enforcing security and privacy requirements in E‐health solutions;Pussewalage HSG;Int J Inf Manag,2016

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3