scholarly journals A Study on Smart Healthcare Monitoring Using IoT Based on Blockchain

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
SoonHyeong Jeong ◽  
Jun-Hong Shen ◽  
Byeongtae Ahn
Keyword(s):  
Industrial Revolution ◽  
Medical Information ◽  
Personal Information ◽  
Blockchain Technology ◽  
Smart Healthcare ◽  
Healthcare Monitoring ◽  
System Information ◽  
Personalized Diagnosis ◽  
Biometric Information ◽  
Objective Methodology

Background/Motivation. Recently, a lot of interest in health is increasing due to the technology of the 4th industrial revolution. In particular, personal medical information through intelligent self-diagnosis is emerging as very important. However, such personal medical information causes many problems in security and reliability. Problem/Issues. Personal medical information accidents may occur on the server, but most of all, they occur more often in information sharing and data transmission. Therefore, in this paper, blockchain technology is applied to improve the reliability of such personal information management. Research Objective/Methodology. For intelligent healthcare incorporating blockchain technology, this study utilized the blockchain-based Internet of Things. In addition, information was accumulated using a number of measurement sensors to analyze individual ECG information. The measured biosignals were monitored for personalized diagnosis by analyzing the fused threshold. Result. In this paper, we implemented a monitoring system using measurement sensors to analyze individual biometric information. The implemented system information has improved reliability and security by incorporating blockchain technology.

scholarly journals A Study on Secure Medical-Contents Strategies with DRM Based on Cloud Computing

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Hoon Ko ◽  
Libor Měsíček ◽  
Jongsun Choi ◽  
Seogchan Hwang
Keyword(s):  
Security Policy ◽  
Medical Information ◽  
Personal Information ◽  
Medical Center ◽  
Wearable Sensor ◽  
Network Systems ◽  
Medical Clinics ◽  
Measured Information ◽  
Security Compliance ◽  
Biometric Information

Many hospitals and medical clinics have been using a wearable sensor in its health care system because the wearable sensor, which is able to measure the patients’ biometric information, has been developed to analyze their patients remotely. The measured information is saved to a server in a medical center, and the server keeps the medical information, which also involves personal information, on a cloud system. The server and network devices are used by connecting each other, and sensitive medical records are dealt with remotely. However, these days, the attackers, who try to attack the server or the network systems, are increasing. In addition, the server and the network system have a weak protection and security policy against the attackers. In this paper, it is suggested that security compliance of medical contents should be followed to improve the level of security. As a result, the medical contents are kept safely.

scholarly journals A Blockchain-Based Secure Inter-Hospital EMR Sharing System

2020 ◽  
Vol 10 (14) ◽  
pp. 4958
Author(s):  
Chin-Ling Chen ◽  
Yong-Yuan Deng ◽  
Wei Weng ◽  
Hongyu Sun ◽  
Ming Zhou
Keyword(s):  
Private Information ◽  
Medical Technology ◽  
Medical Information ◽  
Personal Information ◽  
Mutual Authentication ◽  
Current Medical ◽  
Replay Attack ◽  
The Past ◽  
Blockchain Technology ◽  
Medical Materials

In recent years, blockchain-related technologies and applications have gradually emerged. Blockchain technology is essentially a decentralized database maintained by the collective, and it is now widely applied in various fields. At the same time, with the growth of medical technology, medical information is becoming increasingly important in terms of patient identity background, medical payment records, and medical history. Medical information can be the most private information about a person, but due to issues such as operation errors within the network or a hacking attack by a malicious person, there have been major leaks of sensitive personal information in the past. In any case, this has become an issue worth studying to ensure the privacy of patients and protect these medical materials. On the other hand, under the current medical system, the patient’s EMR (electronic medical record) cannot be searched across the hospital. When the patient attends the hospital for treatment, repeated examinations will occur, resulting in a waste of medical resources. Therefore, we propose a blockchain-based secure inter-hospital EMR sharing system in this article. Through the programmatic authorization mechanism by smart contracts, the security of EMR is guaranteed. In addition to the essential mutual authentication, the proposed scheme also provides and guarantees data integrity, nonrepudiation, user untraceability, forward and backward secrecy, and resistance to replay attack.

Security in Smart Healthcare System: A Comprehensive Survey

2017 ◽  
Vol 7 (10) ◽  
pp. 39
Author(s):  
P. Jeyadurga ◽  
S. Ebenezer Juliet ◽  
I. Joshua Selwyn ◽  
P. Sivanisha
Keyword(s):  
Secure Communication ◽  
Smart Cities ◽  
Healthcare Systems ◽  
Internet Security ◽  
Security Risk ◽  
System A ◽  
Smart Healthcare ◽  
Comprehensive Survey ◽  
Healthcare Monitoring ◽  
The Internet Of Things

The Internet of things (IoT) is one of the emerging technologies that brought revolution in many application domains such as smart cities, smart retails, healthcare monitoring and so on. As the physical objects are connected via internet, security risk may arise. This paper analyses the existing technologies and protocols that are designed by different authors to ensure the secure communication over internet. It additionally focuses on the advancement in healthcare systems while deploying IoT services.

scholarly journals STHM: A Secured and Trusted Healthcare Monitoring Architecture Using SDN and Blockchain

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1787
Author(s):  
Ezedin Barka ◽  
Sofiane Dahmane ◽  
Chaker Abdelaziz Kerrache ◽  
Mohamad Khayat ◽  
Farag Sallabi
Keyword(s):  
Monitoring System ◽  
Trust Management ◽  
Software Defined Networking ◽  
The Elderly ◽  
Optimal Level ◽  
Security And Privacy ◽  
Patient Privacy ◽  
Security Technologies ◽  
Blockchain Technology ◽  
Healthcare Monitoring

Healthcare professionals and scholars have emphasized the need for IoT-based remote health monitoring services to track the health of the elderly. Such systems produce a large amount of data, necessitating the security and privacy of that data. On the other hand, Software Defined Networking (SDN) integration could be seen as a good solution to guarantee both flexibility and efficiency of the network which is even more important in the case of healthcare monitoring. Furthermore, Blockchain has recently been proposed as a game-changing tool that can be integrated into the Internet of Things (IoT) to have the optimal level of security and privacy. However, incorporating Blockchain into IoT networks, which rely heavily on patients’ health sensors, is extremely difficult. In this paper, a secure Healthcare Monitoring System (HMS) is proposed with a focus on trust management issues. The architecture seeks to protect multiple healthcare monitoring system components and preserves patient privacy by developing a security interface where separate security modules can be integrated to run side by side to ensure reliable HMS. The security framework architecture we propose takes advantage of the blockchain technology as a secure and timely information back-end. STHM is a proposal that uses Software-Defined Networking (SDN) as the communication medium that allows users to access SDN’s different functional and security technologies and services. Simulation results show that the use of Blockchain for the SDN-based healthcare monitoring can ensure the desired flexibility and security for a very lightweight additional overhead.

scholarly journals Data Analysis and Forecasting of Tuberculosis Prevalence Rates for Smart Healthcare Based on a Novel Combination Model

2018 ◽  
Vol 8 (9) ◽  
pp. 1693 ◽  
Author(s):  
Jiyang Wang ◽  
Chen Wang ◽  
Wenyu Zhang
Keyword(s):  
Prevalence Rate ◽  
Medical Information ◽  
Global Perspective ◽  
Ageing Population ◽  
Prevalence Rates ◽  
Epidemic Disease ◽  
Combination Model ◽  
Smart Healthcare ◽  
Income Groups ◽  
Tuberculosis Prevalence

In recent years, healthcare has attracted much attention, which is looking for more and more data analytics in healthcare to relieve medical problems in medical staff shortage, ageing population, people living alone, and quality of life. Data mining, analysis, and forecasting play a vital role in modern social and medical fields. However, how to select a proper model to mine and analyze the relevant medical information in the data is not only an extremely challenging problem, but also a concerning problem. Tuberculosis remains a major global health problem despite recent and continued progress in prevention and treatment. There is no doubt that the effective analysis and accurate forecasting of global tuberculosis prevalence rates lay a solid foundation for the construction of an epidemic disease warning and monitoring system from a global perspective. In this paper, the tuberculosis prevalence rate time series for four World Bank income groups are targeted. Kruskal–Wallis analysis of variance and multiple comparison tests are conducted to determine whether the differences of tuberculosis prevalence rates for different income groups are statistically significant or not, and a novel combined forecasting model with its weights optimized by a recently developed artificial intelligence algorithm—cuckoo search—is proposed to forecast the hierarchical tuberculosis prevalence rates from 2013 to 2016. Numerical results show that the developed combination model is not only simple, but is also able to satisfactorily approximate the actual tuberculosis prevalence rate, and can be an effective tool in mining and analyzing big data in the medical field.

IoT based Smart Healthcare Monitoring Systems: A Review

2021 ◽  
Author(s):  
Divyanshu Tiwari ◽  
Devendra Prasad ◽  
Kalpna Guleria ◽  
Pinaki Ghosh
Keyword(s):  
Monitoring Systems ◽  
Smart Healthcare ◽  
Healthcare Monitoring

Secured Healthcare Data Analytics on the Cloud Using Blockchain-Based Techniques

2022 ◽  
pp. 89-103
Author(s):  
Subashini B.
Keyword(s):  
Patient Monitoring ◽  
Medical Information ◽  
Healthcare Data ◽  
Blockchain Technology ◽  
Benefit Patient ◽  
Monitoring Test ◽  
Patient Monitoring System ◽  
Excellent Care ◽  
Iot Devices ◽  
Remote Patient

Blockchain and the internet of things (IoT) are progressive technologies that are changing the world with additional special care within the healthcare system. In healthcare, IoT is a remote patient monitoring system that allows IoT devices to collect patient information such as remote monitoring, test results, pharmacy detailsm and medical insurance details, and allows doctors to provide excellent care. In order to facilitate data sharing among different hospitals and other organizations, it is necessary to secure data with caution. Blockchain is a decentralized, distributed, and an immutable digital ledger that records healthcare transactions using peer-to-peer technology in an extremely secure manner. It uses the cloud environment to store the huge amount of data on healthcare. The data generated from IoT devices uses blockchain technology to share medical information being analyzed by healthcare professionals in different hospitals in a secure manner. The objective is to benefit patient monitoring remotely and overcome the problem of information blocking.

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