Enhancing the Processing of Healthcare Data Streams using Fog Computing

Badidi, Elarbi; Moumane, Karima

doi:10.1109/iscc47284.2019.8969736

Cited by 21 publications

(9 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…capabilities and utilization of resources. Another category of research works like [17,18,34] focus on data usage and transmission. In this context, an architecture was proposed in [19] aiming to collect the patient's health data using sensor nodes and transmit it to the cloud for further analysis or utilization.…”

Section: Centralized Cloud Management In S-healthcarementioning

confidence: 99%

SmartMedChain: A Blockchain-Based Privacy-Preserving Smart Healthcare Framework

Majdoubi

Bakkali

Sadki

2021

Journal of Healthcare Engineering

View full text Add to dashboard Cite

Nowadays, the adoption of Internet of Things (IoT) technology worldwide is accelerating the digital transformation of healthcare industry. In this context, smart healthcare (s-healthcare) solutions are ensuring better and innovative opportunities for healthcare providers to improve patients’ care. However, these solutions raise also new challenges in terms of security and privacy due to the diversity of stakeholders, the centralized data management, and the resulting lack of trustworthiness, accountability, and control. In this paper, we propose an end-to-end Blockchain-based and privacy-preserving framework called SmartMedChain for data sharing in s-healthcare environment. The Blockchain is built on Hyperledger Fabric and stores encrypted health data by using the InterPlanetary File System (IPFS), a distributed data storage solution with high resiliency and scalability. Indeed, compared to other propositions and based on the concept of smart contracts, our solution combines both data access control and data usage auditing measures for both Medical IoT data and Electronic Health Records (EHRs) generated by s-healthcare services. In addition, s-healthcare stakeholders can be held accountable by introducing an innovative Privacy Agreement Management scheme that monitors the execution of the service in respect of patient preferences and in accordance with relevant privacy laws. Security analysis and experimental results show that the proposed SmartMedChain is feasible and efficient for s-healthcare environments.

show abstract

Section: Centralized Cloud Management In S-healthcarementioning

confidence: 99%

SmartMedChain: A Blockchain-Based Privacy-Preserving Smart Healthcare Framework

Majdoubi

Bakkali

Sadki

2021

Journal of Healthcare Engineering

View full text Add to dashboard Cite

show abstract

“…Hassen et al [21] presented a fog-based health tracking application in which the fog layer analyzes the sensorgenerated physiological data and transmits it to the cloud using a special JSON data model REST API. As in healthcare systems, real-time data analysis is needed, therefore, Badidi and Moumane also presented architecture in [22]. However, no simulations were performed in [21,22] to evaluate the proposed architectures.…”

Section: Related Workmentioning

confidence: 99%

“…As in healthcare systems, real-time data analysis is needed, therefore, Badidi and Moumane also presented architecture in [22]. However, no simulations were performed in [21,22] to evaluate the proposed architectures. Saidi et al [23] and Debauche et al in [24] proposed fog-based health surveillance systems for elderly and unattended people.…”

Section: Related Workmentioning

confidence: 99%

“…While in [13,33,34,38,39], the network usage is not considered for performance evaluation. Some of the prior works [22,21] never conducted experiments to validate the performance of their proposed approaches. Unlike prior work, we conducted extensive simulations with five different topology configurations and compared the results with cloud-only implementation and two other fog-based implementations i.e.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Fog Based Architecture and Load Balancing Methodology for Health Monitoring Systems

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Outra questão importante, também discutida neste capítulo, diz respeito à utilização da computação em nuvem para armazenar o alto volume de dados que podem ser coletados [Badidi e Moumane, 2019]. Essa grande massa de dados, se devidamente processada, pode ser aproveitada para melhorar o atendimento ao paciente, otimizar processos e ajudar as partes interessadas e os aplicativos do setor de saúde a tomar decisões mais rápidas e precisas.…”

Section: Introductionunclassified

Aplicações em redes de sensores na área da saúde e gerenciamento de dados médicos: tecnologias em ascensão

Santos¹,

Firmino²,

Soto³

et al. 2020

Minicursos SBCAS 2020

View full text Add to dashboard Cite

Sensor networks have become increasingly popular in healthcare due to the widespread use of cell phones and accessories capable of capturing medical data and the growth of remote patient monitoring initiatives. Medical data captured by sensors are sensitive and require the guarantee of authenticity, confidentiality, and privacy in the context of the Brazilian regulations, according to "Lei Geral de Proteção de Dados" (LGPD). Besides, the management and guarantee of medical data interoperability depend on the use of syntax and semantics following international standards. Therefore, the cloud computing and the Internet of Things are enabling tools for digital technologies to improve patient care. In this chapter, we present and discuss sensor networks' main concepts and the collection, processing, and protection of data from sensitive medical data. Resumo As redes de sensores têm se tornado cada vez mais populares na área de saúde devido à ampla disseminação dos celulares e acessórios aptos a captar dados médicos e ao crescimento de iniciativas de monitoramento remoto de pacientes. Dados médicos são considerados dados sensíveis e como tal requerem a garantia de autenticidade, confidencialidade e privacidade no contexto da Lei Geral de Proteção de Dados (LGPD). Paralelamente, a gerência e garantia de interoperabilidade de dados médicos dependem do uso de sintaxe e semânticas de acordo com padronizações internacionais. Assim, a utilização da computação em nuvem e a Internet das Coisas são facilitadores para o desenvolvimento de tecnologias digitais para melhorar o atendimento ao paciente. Considerando esse cenário, este capítulo apresenta e discute os principais conceitos relacionados às redes de sensores e à coleta, tratamento e proteção de dados de médicos sensíveis.

show abstract

Enhancing the Processing of Healthcare Data Streams using Fog Computing

Cited by 21 publications

References 14 publications

SmartMedChain: A Blockchain-Based Privacy-Preserving Smart Healthcare Framework

SmartMedChain: A Blockchain-Based Privacy-Preserving Smart Healthcare Framework

Fog Based Architecture and Load Balancing Methodology for Health Monitoring Systems

Aplicações em redes de sensores na área da saúde e gerenciamento de dados médicos: tecnologias em ascensão

Contact Info

Product

Resources

About