Security Aspects of Short-Range Wireless Communication – Risk Analysis for the Healthcare

Evesti, Antti; Suomalainen, Jani; Savola, Reijo

doi:10.20533/ijicr.2042.4655.2014.0056

Cited by 3 publications

(2 citation statements)

References 24 publications

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“…Bluetooth, NFC, Zigbee leading in a multiprotocol environment. The minor breach from one of these wireless connections can ruin the patient [ 17 ]. IoMT devices are resource-constrained, designed to accomplish a set of functional features regardless security features, so, every device presents a potential risk for the privacy of the patient and even his safety [ 18 ].…”

Section: Security Advancements In E-healthmentioning

confidence: 99%

A Comprehensive Study of Security and Cyber-Security Risk Management within e-Health Systems: Synthesis, Analysis and a Novel Quantified Approach

2022

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Internet of Things (IoT) applications are among the major trends of nowadays. Billions of connected devices are creating great business profits and performing a multitude of automated tasks in many daily human activities. In healthcare service delivery, IoT capabilities are difficult to overestimate, they are progressively becoming entangled and commonly coined Internet of Medical Things (IoMT). The participating nodes in IoMT networks generate, collect and exchange huge amounts of extremely private and sensitive data. Numerous security vulnerabilities arise due to the complexity and the heterogeneity of the technology. New risks, born out of IoMT systems, cannot easily be supported by existing risk management frameworks. The existing cyber-security risk assessment methods and approaches, deployed in several organizations, will not address the IoMT inherent risks properly. This study includes a comprehensive review of IoMT systems. Popular risk assessment methods are discussed and their suitability to IoMT is dealt with in detail. Based on this study, we propose a framework to enhance trust and help with decision making in e-healthcare environments given its high-risk exposure. The proposal is based on a quantified risk assessment approach. Our aim is to define a novel approach/model for improving trust and risk management in an e-health context.

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Section: Security Advancements In E-healthmentioning

confidence: 99%

A Comprehensive Study of Security and Cyber-Security Risk Management within e-Health Systems: Synthesis, Analysis and a Novel Quantified Approach

2022

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“…There are several short-range radio communications technologies available such as Bluetooth Low Energy (BLE), ZigBee, Z-Wave, Near Field Communication (NFC), etc. The use of a particular technology depends on the requirements in that specific industrial process or phase [49], [50]. Table 1 summarizes the impact of the key requirements in the different networks.…”

Section: A Requirements For Local Networkmentioning

confidence: 99%

BlockEdge: Blockchain-Edge Framework for Industrial IoT Networks

et al. 2020

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Industry 4.0 encompasses a promise of a new industrial revolution in terms of providing secure, intelligent, autonomous and self-adaptive industrial IoT (IIoT) networks. Key industrial applications and systems will be significantly more complex due to the involvement of the vast number of different devices and diverse nature of various stakeholders and service providers. These complex industrial processes, services and applications also have strict requirements in terms of performance-latency in particular-and resource-efficiency, together with high standards for security and trust. In this context, Blockchain and Edge Computing emerge as prominent technologies to address the mentioned essential requirements and to further strengthen the rise of the new era of digitization. The Edge computing paradigm ensures low latency services for IIoT applications while optimizing the network usage, whereas Blockchain provides a decentralized way for ensuring data integrity, trust and security. In this paper, we propose a 'BlockEdge' framework that combines these two enabling technologies to address some of the critical issues faced by the current IIoT networks. We verify the feasibility of our approach by evaluating the performance and resource-efficiency of BlockEdge in terms of latency, power consumption and network usage, through simulations against non-Blockchain solution.

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Modeling Distributed and Configurable Hierarchical Blockchain over SDN and Fog-Based Networks for Large-Scale Internet of Things

Syed,

Sharma,

Srivastava

2023

J Grid Computing

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Security Aspects of Short-Range Wireless Communication – Risk Analysis for the Healthcare

Cited by 3 publications

References 24 publications

A Comprehensive Study of Security and Cyber-Security Risk Management within e-Health Systems: Synthesis, Analysis and a Novel Quantified Approach

A Comprehensive Study of Security and Cyber-Security Risk Management within e-Health Systems: Synthesis, Analysis and a Novel Quantified Approach

BlockEdge: Blockchain-Edge Framework for Industrial IoT Networks

Modeling Distributed and Configurable Hierarchical Blockchain over SDN and Fog-Based Networks for Large-Scale Internet of Things

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