IoT Sensor Initiated Healthcare Data Security

Besher, Kedir Mamo; Subah, Zareen; Ali, M.Z.

doi:10.1109/jsen.2020.3013634

Cited by 33 publications

(10 citation statements)

References 8 publications

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“…An ideal lab-on-a-chip device contains maximum robustness and strong-wired intelligence to employ the personal skilled free and transport the outcomes directly to the chief monitoring station ( Besher et al, 2021 ; Xin et al, 2020 ). This device also supports distinguishing the biomolecule parameters, such as RNA and DNA variations.…”

Section: Emergence Of 5th Génération Biosensing Strategiesmentioning

confidence: 99%

Towards hospital-on-chip supported by 2D MXenes-based 5th generation intelligent biosensors

Chaudhary

Khanna

Awan

et al. 2023

Biosensors and Bioelectronics

101

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Section: Emergence Of 5th Génération Biosensing Strategiesmentioning

confidence: 99%

Towards hospital-on-chip supported by 2D MXenes-based 5th generation intelligent biosensors

Chaudhary

Khanna

Awan

et al. 2023

Biosensors and Bioelectronics

101

View full text Add to dashboard Cite

“…Besher et al [29] addressed security problems from the start, preventing third-party data spying. In the past few years, the Internet of Things (IoT) has become a common and useful way to keep information safe.…”

Section: Literature Reviewsmentioning

confidence: 99%

An Integrated Scalable Framework for Cloud and IoT Based Green Healthcare System

Islam

Bhuiyan

2023

IEEE Access

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Recent developments in IoT-enabled cloud computing and interactive applications have made researchers rethink how healthcare services are currently provided. The IoT-cloud-based systems facilitate remote monitoring and support for patients. However, in the existing area, much emphasis has not been given to making the healthcare systems green. So, in this paper, we present an integrated framework for green healthcare and use cutting-edge technology to make an interactive user interface. We have also ensured the system's scalability and performance ratio. This system interface has been designed and developed for patients and doctors, where patients can send their healthcare data using wearable sensors, and doctors can receive those data in real-time. For data identification and analysis, we have adopted Hierarchical Clustering Algorithms. Finally, we have come up with a solution for how to make the interactive healthcare experience better for everyone.

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“…Blockchain based insurance processing can assess potential high-risk and low-risk patients to determine the insurance rates transparently [17]. Cognition in IoT is not a new science and finds many applications [18][19]. Incorporating game theory in cognition based IoT healthcare systems improve the performance of the healthcare system [20].…”

Section: Related Workmentioning

confidence: 99%

Blockchain Framework for Cognitive Sensor Network Using Non-Cooperative Game Theory

Surekha

Rahman

2022

IEEE Access

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The incorporation of Technology in healthcare and hospital management has given a new perception to the medical procedures, and drug management for patient-centric care. Emerging technologies like blockchain, Internet of Things, and cognitive computing are most adaptable for designing smart healthcare systems. However, due to the diversified tasks involved, a design approach with broader understanding involving multiple factors that represent each area of the healthcare is the need of the hour. Game theory has gained prominence in modeling multi-player problems designated by strategic interdependency. This paper proposes a non-cooperative game strategy between players (stakeholders) to inspect how rationality is exhibited among the players who seamlessly try to get benefitted from the actions of other players. To evaluate the feasibility of the proposed model, a prototype was designed based on Ethereum permissioned blockchain employing Raspberry pi IoT devices and sensor-based cognition. Use of blockchain brings in trust, security and transparency to the system. The simulation results show that the proposed model provides better outcomes in terms of latency (≈ 15 min), throughput and scalability with an increased number of transactions. The comparative analysis elucidates the fact that the proposed method outperforms the existing healthcare systems with a significant improvement of 10-15% in terms of resource utilization and provides faster and accurate patient-centric services.

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IoT Sensor Initiated Healthcare Data Security

Cited by 33 publications

References 8 publications

Towards hospital-on-chip supported by 2D MXenes-based 5th generation intelligent biosensors

Towards hospital-on-chip supported by 2D MXenes-based 5th generation intelligent biosensors

An Integrated Scalable Framework for Cloud and IoT Based Green Healthcare System

Blockchain Framework for Cognitive Sensor Network Using Non-Cooperative Game Theory

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