A survey on security of IoT in the context of eHealth and clouds

Ida, Imen Ben; Jemai, Abderrazak; Loukil, Adlen

doi:10.1109/idt.2016.7843009

Cited by 17 publications

(7 citation statements)

References 34 publications

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“…Security attacks on IoT‐based eHealth systems can be classified according to the targeted layer in the typical three‐layered IoT architecture such in References 3,17,24,25. Attacks on device layer are related to hardware vulnerabilities.…”

Section: Taxonomy Of Ehealth Security Threatsmentioning

confidence: 99%

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

Makina,

Letaifa,

Rachedi

2023

Security and Privacy

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The 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.

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Section: Taxonomy Of Ehealth Security Threatsmentioning

confidence: 99%

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

Makina,

Letaifa,

Rachedi

2023

Security and Privacy

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“…Researchers also discuss cryptographic algorithms for security purposes and concluded that the Rivest-Shamir-Adleman (RSA) model outperforms the Advanced Encryption Standard (AES) and Data Encryption Standard (DES) algorithms. Vulnerabilities exist in security pertaining to electronic health within the cloud [ 62 ]. Using a security architecture that is distributed and cloud application layers may help circumvent security issues.…”

Section: Related Workmentioning

confidence: 99%

Biomedical IoT: Enabling Technologies, Architectural Elements, Challenges, and Future Directions

et al. 2022

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This paper provides a comprehensive systematic literature review (SLR) of various technologies and protocols used for medical Internet of Things (IoT) with a thorough examination of current enabling technologies, use cases, applications, and challenges. Despite recent advances, medical IoT is still not considered a routine practice. Due to regulation, ethical, and technological challenges of biomedical hardware, the growth of medical IoT is inhibited. Medical IoT continues to advance in terms of biomedical hardware, and monitoring figures like vital signs, temperature, electrical signals, oxygen levels, cancer indicators, glucose levels, and other bodily levels. In the upcoming years, medical IoT is expected replace old healthcare systems. In comparison to other survey papers on this topic, our paper provides a thorough summary of the most relevant protocols and technologies specifically for medical IoT as well as the challenges. Our paper also contains several proposed frameworks and use cases of medical IoT in hospital settings as well as a comprehensive overview of previous architectures of IoT regarding the strengths and weaknesses. We hope to enable researchers of multiple disciplines, developers, and biomedical engineers to quickly become knowledgeable on how various technologies cooperate and how current frameworks can be modified for new use cases, thus inspiring more growth in medical IoT.

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“…An important requirement is how to provide appropriate authorization rules and policies while ensuring that only permitted users have access to the sensitive data and only authorized devices are sending correct information. Moreover, there is a challenge of data privacy as public key cryptography cloud is not applied to all layers because of the processing power constraints imposed by IoT objects [20].…”

Section: Vital Signs Monitoring In Smart Hospital Contextmentioning

confidence: 99%

Adaptative vital signs monitoring system based on the early warning score approach in smart hospital context

et al. 2021

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Changes in vital signs are an important indicator of physiological decline and provide opportunities for early recognition and intervention. The collected vital signs data can be evaluated using several approaches such as the Early warning score (EWS) approach to predict the risk level of patients. By exploring the Internet of things (IoT), vital signs monitoring solutions are automated based on various medical devices and sensors. However, there is a lack of efficient tools that enable an adaptative monitoring depending on the patient situations. This article explores the IoT technologies to provide an EWS system in smart hospital situation. The proposed solution presents an adaptative configuration of the vital signs monitoring process depending on the patient's health status variation and the medical staff decisions. Also, an intelligent notification mechanism that reduces the delay of the medical staff intervention in the case of risk detection is proposed. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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A survey on security of IoT in the context of eHealth and clouds

Cited by 17 publications

References 34 publications

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

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

Biomedical IoT: Enabling Technologies, Architectural Elements, Challenges, and Future Directions

Adaptative vital signs monitoring system based on the early warning score approach in smart hospital context

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