Lightweight Healthcare Wireless Body Area Network Scheme With Amplified Security

Jiang, Zhengliang; Liu, Wei; Ma, Ruijiang; Shirazi, Syed Hamad; Xie, Yang

doi:10.1109/access.2021.3111292

Cited by 8 publications

(4 citation statements)

References 33 publications

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“…Furthermore, Ref. [44] introduces a secure and lightweight approach using fewer elliptic curve cryptography (ECC) operations and a physically unclonable function (PUF), improving security and efficiency with lower computational and communication costs. The study by Ref.…”

Section: Securitymentioning

confidence: 99%

“…This approach effectively reduces the risk of data theft, cyberattacks, and other security threats [21,30,35,39,41,43]. Moreover, it ensures that only authorized individuals can access sensitive patient information, thereby protecting patient privacy and preventing unauthorized access to information that can be exploited for malicious purposes [23,[38][39][40]44]. Implementing secure access controls is crucial in preventing data breaches, which can be both costly and damaging to healthcare organizations.…”

Section: Secure Access Controlmentioning

confidence: 99%

“…Most studies suggest that secure access control not only reduces communication and computational costs but also enhances security [21,30,35]. From an efficiency standpoint, some articles highlight that certain systems are effective for real-time healthcare systems [30,35,44], while others suggest that certain models, particu-larly those based on agent-based systems, provide effective and secure e-health security services [39].…”

Section: Secure Access Controlmentioning

confidence: 99%

See 2 more Smart Citations

Security and Privacy of Technologies in Health Information Systems: A Systematic Literature Review

Shojaei,

Vlahu-Gjorgievska,

Chow

2024

Computers

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Health information systems (HISs) have immense value for healthcare institutions, as they provide secure storage, efficient retrieval, insightful analysis, seamless exchange, and collaborative sharing of patient health information. HISs are implemented to meet patient needs, as well as to ensure the security and privacy of medical data, including confidentiality, integrity, and availability, which are necessary to achieve high-quality healthcare services. This systematic literature review identifies various technologies and methods currently employed to enhance the security and privacy of medical data within HISs. Various technologies have been utilized to enhance the security and privacy of healthcare information, such as the IoT, blockchain, mobile health applications, cloud computing, and combined technologies. This study also identifies three key security aspects, namely, secure access control, data sharing, and data storage, and discusses the challenges faced in each aspect that must be enhanced to ensure the security and privacy of patient information in HISs.

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Section: Securitymentioning

confidence: 99%

Section: Secure Access Controlmentioning

confidence: 99%

Section: Secure Access Controlmentioning

confidence: 99%

See 1 more Smart Citation

Security and Privacy of Technologies in Health Information Systems: A Systematic Literature Review

Shojaei,

Vlahu-Gjorgievska,

Chow

2024

Computers

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“…The research presented in reference [48] When compared to benchmark blockchains, the transaction throughput of our CATP-Fabric blockchain design is much higher, and the rate at which transactions are abandoned is far lower.…”

Section: Review On Platform-based Healthcare Iot Modelsmentioning

confidence: 99%

Statistical Analysis of Remote Health Monitoring Based IoT Security Models & Deployments From a Pragmatic Perspective

Ashok

Gopikrishnan

2023

IEEE Access

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Remote health monitoring-based Internet of Things (IoT) network security is a multidomain task, that involves identification of network attack, evaluation of mitigation strategies, design of performance aware data security models, integration of privacy models, and modelling of device-level security methods. Internal designs for each of these models is highly complex, and varies in terms of quantitative & qualitative performance measures. This is due to their variation in terms of design nuances, functional advantages, context-based limitations, and possible deployment-specific future scopes. Due to this variation, it is highly ambiguous to select these models for performance-specific IoT deployments. Moreover, these models also vary in terms of security level, Quality of Service (QoS) parameters, scalability performance, computational complexity, deployment costs, and other performance metrics. Thus, to identify optimum models, researchers & network designers are required to test & validate multiple security models for their deployments. Due to which, the cost & time to market for IoT devices is increased, thereby affecting viability of IoT products. To overcome these selection issues, an empirical survey of different IoT security models including blockchains, encryption techniques, hashing models, privacy preservation techniques, machine learning based security methods, etc. are discussed in this text. This text also discusses various attack mitigation models that provide node-level security, network-level security, physical security, & route-level security. This discussion will assist in initially evaluating different operating characteristics of these models, which will allow readers to identify most suited models for their application-specific use cases. This article also assesses the models' performance in terms of computational latency, energy consumption, security levels, deployment complexity, and scalability measures. These metrics are compared between different security models, which will further assist readers to identify optimum models for their performance-specific use cases. To further assist in model selection, this text proposes evaluation of a novel IoT Security Performance Rank (ISRP), that combines various performance metrics to form a singular rank which can be used to describe overall performance of these models. Readers will be able to consider optimal security approaches for new and current IoT installations based on this ranking.

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Lightweight Cryptography in IoHT: An Analytical Approach

Chakraborty¹,

Guria²

2022

Mobile Computing and Sustainable Informatics

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Lightweight Healthcare Wireless Body Area Network Scheme With Amplified Security

Cited by 8 publications

References 33 publications

Security and Privacy of Technologies in Health Information Systems: A Systematic Literature Review

Security and Privacy of Technologies in Health Information Systems: A Systematic Literature Review

Statistical Analysis of Remote Health Monitoring Based IoT Security Models & Deployments From a Pragmatic Perspective

Lightweight Cryptography in IoHT: An Analytical Approach

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