scholarly journals Using ABE for Medical Data Protection in Fog Computing

2019 ◽  
Author(s):  
Abdelghani Krinah ◽  
Yacine Challal ◽  
Mawloud Omar ◽  
Omar Nouali
Keyword(s):  
Data Protection ◽  
Fog Computing ◽  
Medical Data

scholarly journals A Fog Computing-Based Architecture for Medical Records Management

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Cícero A. Silva ◽  
Gibeon S. Aquino ◽  
Sávio R. M. Melo ◽  
Dannylo J. B. Egídio
Keyword(s):  
Medical Records ◽  
Fog Computing ◽  
Medical Data ◽  
Data Sources ◽  
Medical Applications ◽  
Records Management ◽  
Medical Field ◽  
Computing Paradigm ◽  
And Storage

The aging of the world’s population and the growth in the number of people with chronic diseases have increased expenses with medical care. Thus, the use of technological solutions has been widely adopted in the medical field to improve the patients’ health. In this context, approaches based on Cloud Computing have been used to store and process the information generated in these solutions. However, using Cloud can create delays that are intolerable for medical applications. Thus, the Fog Computing paradigm emerged as an alternative to overcome this problem, bringing computation and storage closer to the data sources. However, managing medical data stored in Fog is still a challenge. Moreover, characteristics of availability, performance, interoperability, and privacy need to be considered in approaches that aim to explore this problem. So, this article shows a software architecture based on Fog Computing and designed to facilitate the management of medical records. This architecture uses Blockchain concepts to provide the necessary privacy features and to allow Fog Nodes to carry out the authorization process in a distributed way. Finally, this paper describes a case study that evaluates the performance, privacy, and interoperability requirements of the proposed architecture in a home-centered healthcare scenario.

scholarly journals Blockchain-Based Security Mechanism for the Medical Data at Fog Computing Architecture of Internet of Things

Electronics ◽  
2021 ◽  
Vol 10 (17) ◽  
pp. 2110
Author(s):  
Desire Ngabo ◽  
Dong Wang ◽  
Celestine Iwendi ◽  
Joseph Henry Anajemba ◽  
Lukman Adewale Ajao ◽  
...  
Keyword(s):  
Data Mining ◽  
Internet Of Things ◽  
Data Storage ◽  
Fog Computing ◽  
Medical Data ◽  
Cyber Attacks ◽  
Security Mechanism ◽  
Computing Architecture ◽  
Blockchain Technology ◽  
And Storage

The recent developments in fog computing architecture and cloud of things (CoT) technology includes data mining management and artificial intelligence operations. However, one of the major challenges of this model is vulnerability to security threats and cyber-attacks against the fog computing layers. In such a scenario, each of the layers are susceptible to different intimidations, including the sensed data (edge layer), computing and processing of data (fog (layer), and storage and management for public users (cloud). The conventional data storage and security mechanisms that are currently in use appear to not be suitable for such a huge amount of generated data in the fog computing architecture. Thus, the major focus of this research is to provide security countermeasures against medical data mining threats, which are generated from the sensing layer (a human wearable device) and storage of data in the cloud database of internet of things (IoT). Therefore, we propose a public-permissioned blockchain security mechanism using elliptic curve crypto (ECC) digital signature that that supports a distributed ledger database (server) to provide an immutable security solution, transaction transparency and prevent the patient records tampering at the IoTs fog layer. The blockchain technology approach also helps to mitigate these issues of latency, centralization, and scalability in the fog model.

Medical data protection: A proposal for a deontology code

1990 ◽  
Vol 14 (6) ◽  
pp. 375-386 ◽  
Author(s):  
D. Gritzalis ◽  
A. Tomaras ◽  
S. Katsikas ◽  
J. Keklikoglou
Keyword(s):  
Data Protection ◽  
Medical Data

scholarly journals Digital medical data protection compliance among medical staffs

2019 ◽  
Vol 1339 ◽  
pp. 012100
Author(s):  
Uning Pratimaratri ◽  
Desi Ilona ◽  
Zaitul
Keyword(s):  
Data Protection ◽  
Medical Data
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