A Blockchain Based Technique for Storing Vaccination Records

Deka, Sanjib Kumar; Goswami, Subhasish; Anand, Adarsh

doi:10.1109/ibssc51096.2020.9332171

Cited by 15 publications

(5 citation statements)

References 11 publications

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“…Nevertheless, since the worldwide outbreak of the COVID-19 epidemic in 2020, many countries have had considerable requirements for vaccination and the checking of vaccination certificates against the pandemic [11][12][13][14][15][16][17]. These works on how to use blockchain to ensure the security of the vaccine and its related information also launched a fierce discus-sion [29][30][31][32][33]. Ricci et al [29] referred to the feasibility of applying blockchain technology in the transport of the COVID-19 vaccine and proof of COVID-19 vaccination.…”

Section: Related Workmentioning

confidence: 99%

“…Ricci et al [29] referred to the feasibility of applying blockchain technology in the transport of the COVID-19 vaccine and proof of COVID-19 vaccination. Deka et al [30] proposed a method to maintain individual vaccination records and proof of immunization by introducing blockchain technology. Then, the vaccination records and proofs stored in the system are managed through IPFS.…”

Section: Related Workmentioning

confidence: 99%

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A Traceable Vaccine Supply Management System

Chen

Weng

et al. 2022

Sensors

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Everyone should be vaccinated, but the eligibility and safety of the vaccine are always overlooked by most people. The outbreak of COVID-19 has led many countries to intensify the development and production of the COVID-19 vaccine. and some countries have even required universal vaccination against this epidemic. However, such popularization of vaccination has also exposed various flaws in vaccine management that existed in the past, and vaccinators have become more concerned about the effectiveness of their vaccinations. In this paper, we propose a blockchain-based traceable vaccine management system. First, the system uses smart contracts to store the records generated during the whole process, from vaccine production to vaccination. Second, the proposed scheme uses the Edwards-curve digital signature algorithm (EdDSA) to guarantee the security and integrity of these data. Third, the system participants can access the corresponding data according to their authority to ensure the transparency of the whole system operation process. Finally, this paper will also conduct a security analysis of the whole system to ensure that the system can resist potential attacks by criminals.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A Traceable Vaccine Supply Management System

Chen

Weng

et al. 2022

Sensors

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“…After that, Apache JMeter, 26 running outside the cloud, was used as a load testing tool for measuring and analyzing the solution's performance for this test. Some requisitions were made to simulate a high number of simultaneous requests.…”

Section: Test Environmentmentioning

confidence: 99%

“…The use of Blockchain to store and verify the vaccination process is also proposed by [24,25] and [26]. They show use cases that use Blockchain, with acceptable performance, to store and validate vaccination certificates, but they are not worried about interoperability between existing vaccination control systems.…”

Section: Vaccination Case Studymentioning

confidence: 99%

Using FIWARE and blockchain in smart cities solutions

Loss

Singh²,

Cacho

et al. 2022

Cluster Comput

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Nowadays, Blockchain has been widely used to store decentralized and secure transactions involving cryptocurrency, e.g., Bitcoin, Ethereum, etc. However, Blockchain can also store other types of information besides monetary transactions. On the other hand, innovative solutions for smart cities are concerned with how services and information can be safely stored and shared. For this reason, smart city systems can benefit from using Blockchain to integrate their data and services. These smart solutions also demand consistency and standardization across the industry. However, this Blockchain integration varies according to its implementation. FIWARE, a framework of an open-source platform for smart solutions, adopts NGSI Standards (Context Information Management (CIM); NGSI-LD API: Tech. Rep., CIM and ETSI Industry Specification Group (ISG), 2020) to enable the integration of components and provides the basis for interoperability and portability among smart solutions. Unfortunately, FIWARE does not support any integration with Blockchain technology. Hence, this paper proposes a set of new components to allow FIWARE to be integrated with Blockchain technology. With these proposed components, it is possible to support Blockchain technology with smart city applications via the FIWARE platform. For instance, we have designed and implemented a FIWARE Blockchain adapter to submit/listen to transactions from/to FIWARE Context Broker to/from any Blockchain implementation without human intervention. In addition, we present a global post-pandemic vaccination case study to evaluate the proposed approach in the Smart City context.

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“…Furthermore, the proposed framework makes things easier for authorized users such as healthcare operators. A blockchain-based solution for handling and storing vaccination data and proof of immunity for persons was proposed [229]. The method offers a secure and well-organized way to maintain vaccination records.…”

Section: Sharing Patient Datamentioning

confidence: 99%

Comprehensive Survey of IoT, Machine Learning, and Blockchain for Health Care Applications: A Topical Assessment for Pandemic Preparedness, Challenges, and Solutions

Imran

Zaman²,

Imran

et al. 2021

Electronics

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Internet of Things (IoT) communication technologies have brought immense revolutions in various domains, especially in health monitoring systems. Machine learning techniques coupled with advanced artificial intelligence techniques detect patterns associated with diseases and health conditions. Presently, the scientific community is focused on enhancing IoT-enabled applications by integrating blockchain technology with machine learning models to benefit medical report management, drug traceability, tracking infectious diseases, etc. To date, contemporary state-of-the-art techniques have presented various efforts on the adaptability of blockchain and machine learning in IoT applications; however, there exist various essential aspects that must also be incorporated to achieve more robust performance. This study presents a comprehensive survey of emerging IoT technologies, machine learning, and blockchain for healthcare applications. The reviewed articles comprise a plethora of research articles published in the web of science. The analysis is focused on research articles related to keywords such as `machine learning’, blockchain, `Internet of Things or IoT’, and keywords conjoined with `healthcare’ and `health application’ in six famous publisher databases, namely IEEEXplore, Nature, ScienceDirect, MDPI, SpringerLink, and Google Scholar. We selected and reviewed 263 articles in total. The topical survey of the contemporary IoT-based models is presented in healthcare domains in three steps. Firstly, a detailed analysis of healthcare applications of IoT, blockchain, and machine learning demonstrates the importance of the discussed fields. Secondly, the adaptation mechanism of machine learning and blockchain in IoT for healthcare applications are discussed to delineate the scope of the mentioned techniques in IoT domains. Finally, the challenges and issues of healthcare applications based on machine learning, blockchain, and IoT are discussed. The presented future directions in this domain can significantly help the scholarly community determine research gaps to address.

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A Blockchain Based Technique for Storing Vaccination Records

Cited by 15 publications

References 11 publications

A Traceable Vaccine Supply Management System

A Traceable Vaccine Supply Management System

Using FIWARE and blockchain in smart cities solutions

Comprehensive Survey of IoT, Machine Learning, and Blockchain for Health Care Applications: A Topical Assessment for Pandemic Preparedness, Challenges, and Solutions

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