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 A survey on fog computing: research challenges in security and privacy issues

2018 ◽  
Vol 7 (2.7) ◽  
pp. 335 ◽  
Author(s):  
T Veerraju ◽  
Dr K. Kiran Kumar
Keyword(s):  
Fog Computing ◽  
Cloud Services ◽  
Security And Privacy ◽  
Limited Resources ◽  
Privacy And Security ◽  
Computing Paradigm ◽  
Is Security ◽  
Real Time Applications ◽  
And Storage ◽  
Privacy Issues

With the rapid advancement of Internet of Things has enabled to combine the intercommunication and interconnection between seamless networks. Cloud computing provides backend solutions and one among the most prominent technologies for the users, still cannot be solved all the problems such as latency of real time applications. However, a new computing paradigm comes in to the picture. Many of the researchers focused on this exemplar known as Fog/Edge computing, which has been planned to the extension of cloud services. Fog provides the services to the edge of the networks, which makes communication, computation and storage for end users through fog devices and for servers like controllers. We analyze the study, which aims to augment low bandwidth, latency along with the privacy and security.   The major problem in the Fog computing is security due to the limited resources. In this paper, we investigated the protection issues and confrontation of Fog and also provide countermeasures on security for different attacks. We focused the future security directions and challenges to address in fog networks.

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 Records Management Using Distributed Ledger and Storage

2021 ◽  
pp. 52-62
Author(s):  
Samia Anjum ◽  
R. Ramaguru ◽  
M. Sethumadhavan
Keyword(s):  
Medical Records ◽  
Records Management ◽  
Distributed Ledger ◽  
And Storage

scholarly journals Fog Computing in IoT Smart Environments via Named Data Networking: A Study on Service Orchestration Mechanisms

2019 ◽  
Vol 11 (11) ◽  
pp. 222 ◽  
Author(s):  
Marica Amadeo ◽  
Giuseppe Ruggeri ◽  
Claudia Campolo ◽  
Antonella Molinaro ◽  
Valeria Loscrí ◽  
...  
Keyword(s):  
Fog Computing ◽  
Smart Environments ◽  
Reference Network ◽  
Network Simulator ◽  
Named Data Networking ◽  
Service Orchestration ◽  
Computing Paradigm ◽  
Processing And Storage ◽  
And Storage ◽  
Data Networking

By offering low-latency and context-aware services, fog computing will have a peculiar role in the deployment of Internet of Things (IoT) applications for smart environments. Unlike the conventional remote cloud, for which consolidated architectures and deployment options exist, many design and implementation aspects remain open when considering the latest fog computing paradigm. In this paper, we focus on the problems of dynamically discovering the processing and storage resources distributed among fog nodes and, accordingly, orchestrating them for the provisioning of IoT services for smart environments. In particular, we show how these functionalities can be effectively supported by the revolutionary Named Data Networking (NDN) paradigm. Originally conceived to support named content delivery, NDN can be extended to request and provide named computation services, with NDN nodes acting as both content routers and in-network service executors. To substantiate our analysis, we present an NDN fog computing framework with focus on a smart campus scenario, where the execution of IoT services is dynamically orchestrated and performed by NDN nodes in a distributed fashion. A simulation campaign in ndnSIM, the reference network simulator of the NDN research community, is also presented to assess the performance of our proposal against state-of-the-art solutions. Results confirm the superiority of the proposal in terms of service provisioning time, paid at the expenses of a slightly higher amount of traffic exchanged among fog nodes.

scholarly journals Monitoring and Securing the Healthcare Data Harnessing IOT and Blockchain Technology

2021 ◽  
Vol 12 (2) ◽  
pp. 2554-2561
Author(s):  
P.Hemalatha , Et. al.
Keyword(s):  
Medical Records ◽  
Single Point ◽  
Medical Data ◽  
Sensor Data ◽  
Data Manipulation ◽  
Healthcare Data ◽  
Blockchain Technology ◽  
Computerized Medical Records ◽  
Iot Devices ◽  
And Storage

Blockchain and Internet of Things (IoT) technologies are used in many domains, predominantly for electronic-healthcare. Here, IoT devices has the ability to provide real-time sensor data from patients to get processed and analyzed. As a single point of failure, mistrust, data manipulation and tampering, and privacy avoidance may all occur as a result of such a method. Through offering shared computing and storage for IoT data, blockchain can help solve such issues.Maintaining and sharing Medical data is necessary here.If there occurs loss of confidence means it threatens the medical data and loss of integrity creates impact on the life of patient. So, the first objective is to protect the medical records. Also, a central server to the records will pretend the hackers to attack and continuous fetching is difficult.Therefore, combining Blockchain and IoT will be a threat breaker for computerized medical records.

scholarly journals A Study of Moving from Cloud Computing to Fog Computing

2021 ◽  
Vol 1 (2) ◽  
pp. 60-70
Author(s):  
Hindreen Rashid Abdulqadir ◽  
Subhi R. M. Zeebaree ◽  
Hanan M. Shukur ◽  
Mohammed Mohammed Sadeeq ◽  
Baraa Wasfi Salim ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Cloud Storage ◽  
Fog Computing ◽  
The Internet ◽  
Limited Capacity ◽  
Network Failure ◽  
Computing Paradigm ◽  
Processing And Storage ◽  
And Storage ◽  
The Internet Of Things

The exponential growth of the Internet of Things (IoT) technology poses various challenges to the classic centralized cloud computing paradigm, including high latency, limited capacity, and network failure. Cloud computing and Fog computing carry the cloud closer to IoT computers in order to overcome these problems. Cloud and Fog provide IoT processing and storage of IoT items locally instead of sending them to the cloud. Cloud and Fog provide quicker reactions and better efficiency in conjunction with the cloud. Cloud and fog computing should also be viewed as the safest approach to ensure that IoT delivers reliable and stable resources to multiple IoT customers. This article discusses the latest in cloud and Fog computing and their convergence with IoT by stressing deployment's advantages and complexities. It also concentrates on cloud and Fog design and new IoT technologies, enhanced by utilizing the cloud and Fog model. Finally, transparent topics are addressed, along with potential testing recommendations for cloud storage and Fog computing, and IoT.

Current Status of a Medical Information System

1970 ◽  
Vol 09 (03) ◽  
pp. 149-160 ◽  
Author(s):  
E. Van Brunt ◽  
L. S. Davis ◽  
J. F. Terdiman ◽  
S. Singer ◽  
E. Besag ◽  
...  
Keyword(s):  
Information System ◽  
Medical Records ◽  
Medical Information ◽  
Clinical Laboratory ◽  
Development Program ◽  
Medical Data ◽  
Direct Access ◽  
Medical Information System ◽  
Current Status ◽  
Central System

A pilot medical information system is being implemented and currently is providing services for limited categories of patient data. In one year, physicians’ diagnoses for 500,000 office visits, 300,000 drug prescriptions for outpatients, one million clinical laboratory tests, and 60,000 multiphasic screening examinations are being stored in and retrieved from integrated, direct access, patient computer medical records.This medical information system is a part of a long-term research and development program. Its major objective is the development of a multifacility computer-based system which will support eventually the medical data requirements of a population of one million persons and one thousand physicians. The strategy employed provides for modular development. The central system, the computer-stored medical records which are therein maintained, and a satellite pilot medical data system in one medical facility are described.

Management of Records in Adapted Buildings as Records Centres in Zimbabwe

Mousaion ◽  
2018 ◽  
Vol 35 (3) ◽  
Author(s):  
Samson Mutsagondo ◽  
Getrude Maduyu ◽  
Godfrey Tsvuura
Keyword(s):  
Qualitative Research ◽  
Case Study Research ◽  
Research Approach ◽  
Records Management ◽  
Personal Observation ◽  
Structured Interviews ◽  
Design Data ◽  
Professional Management ◽  
The Government

This paper discusses the challenges of records management that arise from the use of adapted buildings as records centres in Zimbabwe, despite the advantages of using such buildings. A qualitative research approach was used as well as a case study research design. Data were collected from seven officers of the Gweru Records Centre through semi-structured interviews. Personal observation was used to triangulate findings from interviews. It was found that the use of adapted buildings as records centres was a cheaper and quicker way of establishing records centres throughout the country. However, a number of preservation, security and management challenges cropped up as the conditions of the buildings and the environment of the adapted buildings were not conducive to the proper and professional management of records. This study is important in that it explores the prospects and challenges of using adapted buildings as records centres in Zimbabwe, an area that has not been researched by many authors. This provokes archival authorities and the government to seriously consider establishing purpose-built records and archival centres.

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