An Evolutionary Game-Theoretic Trust Study of a Blockchain-Based Personal Health Data Sharing Framework

Akkaoui, Raifa; Hei, Xiaojun; Cheng, Wenqing

doi:10.1109/ictc49638.2020.9123306

Cited by 8 publications

(5 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Big data sharing in the medical field often involves the exchange and sharing of data between multiple participants, including hospitals, research institutions, health insurance companies, and so on. Akkaoui et al [26] studied a blockchain-based sharing framework, constructed a patient-requester game model from an EGT perspective, investigated the impact of relevant parameters in medical big data sharing in terms of trust, and validated the results through numerical simulations. In the e-health application scenario, Sfar et al [27] proposed a Markov process-based privacy-preserving game model (MTGM), which can not only enhance privacy protection and improve time efficiency but also resolve the conflict of interest between data holders and data requesters to a certain extent.…”

Section: Game Theory On Data Sharingmentioning

confidence: 99%

An Evolutionary Game Analysis of Stakeholders’ Decision-Making Behavior in Medical Data Sharing

2023

View full text Add to dashboard Cite

In the era of big data, medical data sharing has become an inevitable requirement to improve the quality and efficiency of medical services. To advance the progress of medical data sharing and expedite the circulation of data value, it becomes crucial to examine the decision-making behavior of stakeholders involved in the medical-data-sharing process. To this end, we construct a three-way evolutionary game model applicable to the medical sharing scenario, analyzing the evolutionary trends in the selection strategies of data providers, the medical-data-sharing platform and data demanders. Furthermore, through theoretical analysis and simulation experiments, we explore the game equilibrium point of the system and analyze key factors that affect stakeholder strategy selection. The results of the experiment show that, in addition to data security, platforms and regulators should pay attention to the regulation and governance of the quality of data flows, which involves reasonable incentives–feedback–rewards and penalties. By strengthening the security technology and data governance system construction of sharing platforms, as well as promoting regulatory authorities to implement reward and punishment measures, etc., a stable state can be achieved in such systems. In addition, this article also proposes relevant management suggestions for medical data sharing in order to provide useful references for scientific decision making by stakeholders.

show abstract

Section: Game Theory On Data Sharingmentioning

confidence: 99%

An Evolutionary Game Analysis of Stakeholders’ Decision-Making Behavior in Medical Data Sharing

2023

View full text Add to dashboard Cite

show abstract

“…They obtained the factors of the evolutionary stabilization strategies that were eventually achieved. Akkaoui et al [26] verified the influence of blockchain technology on the trust level between different entities in a health data trading system through the evolutionary game model. Based on the evolutionary game model, Xiao et al [27] studied the behavior patterns of prevention and control between online users and the government in data sharing and information disclosure.…”

Section: Data Sharing and Evolutionary Gamementioning

confidence: 99%

Research on Sharing Behavior Strategy of Cultural Heritage Institutions Based on Evolutionary Game Theory

Cao

Yin

2023

Sustainability

View full text Add to dashboard Cite

With the accelerated digitalization of China’s cultural heritage conservation, cultural heritage data sharing has been gaining more and more attention as an essential link in cultural heritage conservation and transmission. However, there are many problems in cultural heritage sharing, one of which is the low willingness of institutions to share among themselves and the seriousness of information silos. To motivate more cultural heritage institutions to participate in platform sharing and promote long-term, stable data sharing behavior, the dynamic evolution process and the law of institutions’ sharing behavior in cultural heritage sharing platforms must be further studied. This paper constructs an evolutionary game model based on evolutionary game theory to explore the evolutionary paths of finite rational cultural heritage institutions to reach a stable strategy, discusses the relevant factors affecting these evolutionary paths, and conducts simulation experiments with the help of MATLAB. This paper finds that the sharing behavior of institutions in cultural heritage sharing platforms is affected by the initial state over time. The free-riding penalty of non-sharing parties, the coefficient of synergistic benefit, the data sharing volume, and the proportion of data complementarity have positive effects on the sharing behavior of cultural heritage institutions; meanwhile, the fixed sharing costs and the loss of gains of sharing parties have an adverse impact on the sharing behavior of cultural heritage institutions. The findings of this paper are essential for solving the cultural heritage sharing dilemma, improving the competitiveness of cultural heritage institutions, and promoting the sustainable development of cultural heritage sharing platforms, which can help promote the development of cultural heritage and help the implementation of cultural digitalization strategies.

show abstract

“…Over the last couple of years, various game strategies are developed to enhance security aspects, network performance, and energy efficiency in the healthcare domain [21][22]. Blockchain provides a transparent and trustworthy platform for transaction management and secure data sharing among different stakeholders of the healthcare platform, while cognition using IoT devices provides patient's critical data using sensors and provides knowledge about the processes at the patient's end without human intervention.…”

Section: Related Workmentioning

confidence: 99%

Blockchain Framework for Cognitive Sensor Network Using Non-Cooperative Game Theory

Surekha

Rahman

2022

IEEE Access

View full text Add to dashboard Cite

The incorporation of Technology in healthcare and hospital management has given a new perception to the medical procedures, and drug management for patient-centric care. Emerging technologies like blockchain, Internet of Things, and cognitive computing are most adaptable for designing smart healthcare systems. However, due to the diversified tasks involved, a design approach with broader understanding involving multiple factors that represent each area of the healthcare is the need of the hour. Game theory has gained prominence in modeling multi-player problems designated by strategic interdependency. This paper proposes a non-cooperative game strategy between players (stakeholders) to inspect how rationality is exhibited among the players who seamlessly try to get benefitted from the actions of other players. To evaluate the feasibility of the proposed model, a prototype was designed based on Ethereum permissioned blockchain employing Raspberry pi IoT devices and sensor-based cognition. Use of blockchain brings in trust, security and transparency to the system. The simulation results show that the proposed model provides better outcomes in terms of latency (≈ 15 min), throughput and scalability with an increased number of transactions. The comparative analysis elucidates the fact that the proposed method outperforms the existing healthcare systems with a significant improvement of 10-15% in terms of resource utilization and provides faster and accurate patient-centric services.

show abstract

An Evolutionary Game-Theoretic Trust Study of a Blockchain-Based Personal Health Data Sharing Framework

Cited by 8 publications

References 12 publications

An Evolutionary Game Analysis of Stakeholders’ Decision-Making Behavior in Medical Data Sharing

An Evolutionary Game Analysis of Stakeholders’ Decision-Making Behavior in Medical Data Sharing

Research on Sharing Behavior Strategy of Cultural Heritage Institutions Based on Evolutionary Game Theory

Blockchain Framework for Cognitive Sensor Network Using Non-Cooperative Game Theory

Contact Info

Product

Resources

About