A Survey of Security Aspects for Internet of Things in Healthcare

Suhardi, .; Ramadhan, Alfian

doi:10.1007/978-981-10-0557-2_117

Cited by 11 publications

(3 citation statements)

References 16 publications

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“…The massive scale of IIoT and the dynamics in communications, make the system more vulnerable from the privacy point of view for protecting personally identifiable information (PII) [102]. The device's privacy protection (e.g., information related to a device's daily tasks, frequency of interactions with other devices, etc.)…”

Section: Security Issue 7-privacymentioning

confidence: 99%

Analysis of Security Issues and Countermeasures for the Industrial Internet of Things

Pal

Jadidi

2021

Applied Sciences

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Industrial Internet of Things (IIoT) can be seen as an extension of the Internet of Things (IoT) services and applications to industry with the inclusion of Industry 4.0 that provides automation, reliability, and control in production and manufacturing. IIoT has tremendous potential to accelerate industry automation in many areas, including transportation, manufacturing, automobile, marketing, to name a few places. When the benefits of IIoT are visible, the development of large-scale IIoT systems faces various security challenges resulting in many large-scale cyber-attacks, including fraudulent transactions or damage to critical infrastructure. Moreover, a large number of connected devices over the Internet and resource limitations of the devices (e.g., battery, memory, and processing capability) further pose challenges to the system. The IIoT inherits the insecurities of the traditional communication and networking technologies; however, the IIoT requires further effort to customize the available security solutions with more focus on critical industrial control systems. Several proposals discuss the issue of security, privacy, and trust in IIoT systems, but comprehensive literature considering the several aspects (e.g., users, devices, applications, cascading services, or the emergence of resources) of an IIoT system is missing in the present state of the art IIoT research. In other words, the need for considering a vision for securing an IIoT system with broader security analysis and its potential countermeasures is missing in recent times. To address this issue, in this paper, we provide a comparative analysis of the available security issues present in an IIoT system. We identify a list of security issues comprising logical, technological, and architectural points of view and consider the different IIoT security requirements. We also discuss the available IIoT architectures to examine these security concerns in a systematic way. We show how the functioning of different layers of an IIoT architecture is affected by various security issues and report a list of potential countermeasures against them. This study also presents a list of future research directions towards the development of a large-scale, secure, and trustworthy IIoT system. The study helps understand the various security issues by indicating various threats and attacks present in an IIoT system.

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Section: Security Issue 7-privacymentioning

confidence: 99%

Analysis of Security Issues and Countermeasures for the Industrial Internet of Things

Pal

Jadidi

2021

Applied Sciences

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“…system and resource). Thus, there is a need for robust, scalable and secure healthcare systems [41]. In particular unauthorised access to these wearable devices (and connected medical equipment) can breach a patient's privacy and can generate potential threats to an organisation's resources.…”

Section: Introductionmentioning

confidence: 99%

Fine-Grained Access Control for Smart Healthcare Systems in the Internet of Things

Pal¹,

Hitchens²,

Varadharajan³

et al. 2018

EAI Endorsed Transactions on Industrial Networks and Intelligen

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There has been tremendous growth in the application of the Internet of Things (IoT) in our daily lives. Yet with this growth has come numerous security concerns and privacy challenges for both the users and the systems. Smart devices have many uses in a healthcare system, e.g. collecting and reporting patient data and controlling the administration of treatment. In this paper, we address the specific security issue of access control for smart healthcare systems and the protection of smart things from unauthorised access in such large scale systems. Commonly used access control approaches e.g. Role-Based Access Control (RBAC), AttributeBased Access Control (ABAC) and Capability-Based Access Control (CapBAC) do not, in isolation, provide a complete solution for securing access to IoT-enabled smart healthcare devices. They may, for example, require an overly-centralised solution or an unmanageably large policy base. We propose a novel access control architecture which improves policy management by reducing the required number of authentication policies in a large-scale healthcare system while providing fine-grained access control. The devised access control model employs attributes, roles and capabilities. We apply attributes for role membership assignment and in permission evaluation. Membership of roles grants capabilities. The capabilities which are issued may be parameterised based on attributes of the user and are then used to access specific services provided by things. We also provide a formal specification of the model and a description of its implementation and demonstrate its application through different use-case scenarios. The evaluation results of core functionality of our architecture are provided with the practical testbed experiments.

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“…Application layer: account hijacking, ransomware and brute force IoT devices can be prone to hardware and software malicious attacks [35,36]. The attacks can be considered from the points of view of the IoT layers, methods, origins and levels of complexity [37].…”

mentioning

confidence: 99%

Respiration Measurement in a Simulated Setting Incorporating the Internet of Things

2021

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The Internet of Things (IoT) in healthcare has gained significant attention in recent years. This study demonstrates an adaptation of IoT in healthcare by illustrating a method of respiration rate measurement from a platform that simulates breathing. Respiration rate is a crucial physiological measure in monitoring critically ill patients. The devised approach, with further development, may be suitable for integration into neonatal intensive care units (NICUs) to measure infants’ respiration rate. A potential advantage of this method is that it monitors respiration using a wireless non-contact method and could add benefits such as preservation of skin integrity. The paper aimed to assess the accuracy of an IoT-integrated ultrasound (US)-based method for measuring respiration rate. Chest movement due to respiration was simulated by a platform with a controllable moving surface. The magnitude and frequency of the movements were accurately controlled by a signal generator. The surface movements were tracked using US as a reliable and cost-effective technology. ESP8266 NodeMCU was used to wirelessly record the US signal and ThingSpeak and Matlab© were used to analyze and visualize the data in the cloud. A close relationship between the measured rate of the simulated respiration and the actual frequency was observed. The study demonstrated a possible adaption of IoT for respiration rate measurement, however further work will be needed to ensure security and reliability of data handling before use of the system in medical environments.

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A Survey of Security Aspects for Internet of Things in Healthcare

Cited by 11 publications

References 16 publications

Analysis of Security Issues and Countermeasures for the Industrial Internet of Things

Analysis of Security Issues and Countermeasures for the Industrial Internet of Things

Fine-Grained Access Control for Smart Healthcare Systems in the Internet of Things

Respiration Measurement in a Simulated Setting Incorporating the Internet of Things

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