An Ethereum Private Network for Data Management in Blockchain of Things Ecosystem

Alzoubi, Abdallah; Saadeddin, Tariq; Dmour, Mamoun

doi:10.3991/ijoe.v19i01.35261

Cited by 3 publications

(2 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The term ecosystem appears in the literature mainly in connection to the case of business and is usually related to some new technology, such as AI [10] or blockchain [11], related to some application area. It is also not uncommon at all to study disease categories with respect to the deployment of some technologies, such as the application of machine learning for cardiovascular diseases [12], [13], or the use of advanced technologies such as augmented reality for mental-healthcare interventions [14].…”

Section: Introductionmentioning

confidence: 99%

Identification of Medical Ecosystems in the Field of Mental Health and Cardiovascular Diseases at the Cologne Site

Dannenberg,

Heimann,

Koumpis

et al. 2024

Int. J. Onl. Eng.

View full text Add to dashboard Cite

As part of the Europe-wide smart health innovation hub implemented in the context of the Horizon Europe SHIFT-HUB project, our work concerns the identification of specific medical research ecosystems in the two fields, namely cardiovascular diseases and mental illness, with Cologne as the central location. To achieve this aim, the websites of involved organizations were used for data research purposes, and the members of each respective ecosystem or network were identified by acquiring information about their cooperation partners. A variety of selection criteria have been applied to filter out whether these partners were suitable to be considered as a further starting point for the research. The results indicate the existence of ecosystems in the two fields, with Cologne as the central location, in which various stakeholders, including healthcare institutions, healthcare providers, foundations, NGOs, and the business community, work closely together. Larger institutions are usually networked at an international level, while smaller institutions increasingly depend on and foster regional partnerships. This promotes cooperation and the exchange of knowledge at the regional level and facilitates direct contact with the people affected, i.e., patients’ groups. Research institutions in both fields often receive financial support from commercial organizations, which highlights the importance of the business community’s involvement in exploiting research results and promoting the quality of healthcare. The article highlights the complexity and interdisciplinarity of the particular ecosystems, with all the different categories of institutions comprising an indispensable position. The interaction amongst stakeholders at international, regional, and local levels can significantly help to deploy resources more effectively and improve the quality of life of people suffering from any of the two conditions.

show abstract

Section: Introductionmentioning

confidence: 99%

Identification of Medical Ecosystems in the Field of Mental Health and Cardiovascular Diseases at the Cologne Site

Dannenberg,

Heimann,

Koumpis

et al. 2024

Int. J. Onl. Eng.

View full text Add to dashboard Cite

show abstract

“…Overall, the private Ethereum blockchain offers organizations greater control and customization over their blockchain network, allowing them to create more secure and customized systems for their specific needs [26]. A distributed peer to peer system called Interplanetary File System (IPFS) can store much hypermedia.…”

Section: Introductionmentioning

confidence: 99%

Secure Cybersecurity Information Sharing for Sectoral Organizations Using Ethereum Blockchain and IPFS

Haryanto

Ramli

2023

J. RESTI (Rekayasa Sist. Teknol. Inf.)

View full text Add to dashboard Cite

The COVID-19 pandemic has resulted in increased cross-sector cyber-attacks. Passive and reactive cybersecurity techniques relying solely on technology are insufficient to combat sophisticated attacks, necessitating proactive and collaborative security measures to minimize attacks. Cybersecurity Information Sharing (CIS) enhances security via proactive and collaborative cybersecurity information exchange, but its implementation via cloud services faces threats from man in the middle (MITM) and distributed denial of service (DDoS) attacks, as well as a vulnerability in cloud storage involving centralized data control. These threats and vulnerabilities result in a lack of user confidence in the confidentiality, integrity, and availability of information. This paper proposes Secure Cybersecurity Information Sharing (SCIS) to secure Cybersecurity Information in sectoral organizations using the private interplanetary file system (IPFS) network and the private Ethereum Blockchain network. Private Ethereum Blockchain enables secure and transparent transaction logging, while Private IPFS network provides decentralized storage, addressing vulnerabilities in centralized storage systems. The outcomes of the tests reveal that the suggested SCIS system offers cybersecurity information availability, confidentiality, and integrity. SCIS provides a high level of security to protect cybersecurity information exchanged between sectoral organizations using the Private Ethereum Blockchain network and the Private IPFS network so that organizations can safely share and utilize information.

show abstract

Design of Data Information Technology Optimization based on Deep Learning

Fan

2023

2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS)

View full text Add to dashboard Cite

An Ethereum Private Network for Data Management in Blockchain of Things Ecosystem

Cited by 3 publications

References 51 publications

Identification of Medical Ecosystems in the Field of Mental Health and Cardiovascular Diseases at the Cologne Site

Identification of Medical Ecosystems in the Field of Mental Health and Cardiovascular Diseases at the Cologne Site

Secure Cybersecurity Information Sharing for Sectoral Organizations Using Ethereum Blockchain and IPFS

Design of Data Information Technology Optimization based on Deep Learning

Contact Info

Product

Resources

About