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Proceedings ArticleDOI

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

29 May 2020-Vol. 2020, pp 277-281
TL;DR: The scope of this paper is to explore the impact of verification on the level of trust among the different entities of the health data-trading system by proposing an evolutionary game theoretic model and to present the numerical analysis of the evolution of trust in terms of different game parameters adopted to evaluate their impact on eliminating malicious players from the system.
Abstract: During the past few years, medical Internet-of-Things devices have experienced a massive growth and they are currently generating tremendous volumes of data every day, which are highly valuable as they can be of great importance to all stakeholders within the healthcare industry In this context, many blockchain-based solutions have been proposed to mitigate the siloed burden in different healthcare systems which prevented achieving a patient-centric, transparent, and secure data sharing However, when multiple independent entities try to share their data, trust is not necessarily guaranteed The scope of this paper is to explore the impact of verification on the level of trust among the different entities of the health data-trading system by proposing an evolutionary game theoretic model We also present the numerical analysis of the evolution of trust in terms of different game parameters adopted to evaluate their impact on eliminating malicious (ie, untrustworthy) players from the system
Citations
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Journal ArticleDOI
TL;DR: Zhang et al. as discussed by the authors proposed an evolutionary privacy preservation learning strategy for an edge computing-based IoT data sharing scheme, where edge nodes dynamically adjust their own strategies according to the opponent's strategy and finally maximize the payoffs.

13 citations

Journal ArticleDOI
TL;DR: In this paper , the authors have analyzed the various aspects of role of blockchain in healthcare through an extensive literature review and provided suggestions for strengthening the healthcare system by blending machine learning, artificial intelligence, big data, and IoT with blockchain.
Abstract: Deployment of secured healthcare information is a major challenge in a web-based environment. eHealth services are subjected to same security threats as other services. The purpose of blockchain is to provide a structure and security to the organization data. Healthcare data deals with confidential information. The medical records can be well organized and empower their propagation in a secured manner through the usage of blockchain technology. The study throws light on providing security of health services through blockchain technology. The authors have analyzed the various aspects of role of blockchain in healthcare through an extensive literature review. The application of blockchain in COVID-19 has also been analyzed and discussed in the study. Further application of blockchain in Indian healthcare has been highlighted in the paper. The study provides suggestions for strengthening the healthcare system by blending machine learning, artificial intelligence, big data, and IoT with blockchain.

1 citations

Proceedings ArticleDOI
01 Aug 2022
TL;DR: In this article , the authors present a taxonomy of state-of-the-art blockchain-based IoT solutions leveraging game theory to address common issues in blockchain design and highlight existing challenges to the integration of game theory models into the design of blockchain-driven IoT and bring forward some critical research questions.
Abstract: In the last few years, the combination of the Internet of Things (IoT) and blockchain technologies has widely attracted significant research attention from academia and the industry due to the salient characteristics of blockchain and its natural compatibility with the functional requirements of IoT architectures. Despite the advantages of utilizing the blockchain in IoT systems, several issues have been raised regarding the mitigation of security attacks on blockchain-based IoT systems, management of blockchain operations, node communications, energy consumption, efficient consensus algorithm design, data sharing, and edge/fog computing. Many of the solutions proposed in the literature tried to address these issues using game-theoretic models. This paper surveys and investigates state-of the-art blockchain-based IoT solutions leveraging game theory to address common issues in blockchain design. The developed taxonomy enabled us to highlight existing challenges to the integration of game theory models into the design of blockchain-driven IoT and bring forward some critical research questions.

1 citations

Journal ArticleDOI
TL;DR: In this article , a non-cooperative game strategy between players (stakeholders) is proposed to inspect how rationality is exhibited among the players who seamlessly try to get benefitted from the actions of other players.
Abstract: 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.

1 citations

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper designed a distributed data-sharing system based on blockchain for urban rail transit system, where data production node in urban rail department, such as servers in data centers, wayside equipment, and onboard equipment, can share their data in a distributed way.
Abstract: With the wide application of data-driven intelligence technology, the management efficiency and quality of urban rail transit improve considerably. However, due to data privacy and security protection, a large amount of data is still scattered among operators or rail transit departments in the form of data islands. The data barriers between urban rail departments severely hinder the intelligent development of urban rail transit systems. In this study, we design a distributed data-sharing system based on blockchain for urban rail transit system. Data production node in urban rail department, such as servers in data centers, wayside equipment, and onboard equipment, can share their data in a distributed way. Blockchain provides audit and check functions to guarantee data-sharing security. We explore the data-sharing incentive mechanism which has an impact on sharing willingness of data production nodes. To maximize the individual utility of nodes, we formulate an evolutionary game model for data nodes with bounded rationality to adapt their sharing strategies. The uniqueness and stability of the equilibrium of the game are also analyzed theoretically. Extensive experiments are conducted and illustrated that data production nodes can share their data efficiently and safely in our proposed data-sharing system. Our proposed evolutionary game model can determine the most effective data-sharing incentive mechanism.
References
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Book
14 Aug 1995
TL;DR: Weibull as discussed by the authors introduces evolutionary game theory, where ideas from evolutionary biology and rationalistic economics meet, emphasizing the links between static and dynamic approaches and non-cooperative game theory.
Abstract: This text introduces current evolutionary game theory -- where ideas from evolutionary biology and rationalistic economics meet -- emphasizing the links between static and dynamic approaches and noncooperative game theory. Much of the text is devoted to the key concepts of evolutionary stability and replicator dynamics. The former highlights the role of mutations and the latter the mechanisms of selection. Moreover, set-valued static and dynamic stability concepts, as well as processes of social evolution, are discussed. Separate background chapters are devoted to noncooperative game theory and the theory of ordinary differential equations. There are examples throughout as well as individual chapter summaries. Because evolutionary game theory is a fast-moving field that is itself branching out and rapidly evolving, Jorgen Weibull has judiciously focused on clarifying and explaining core elements of the theory in an up-to-date, comprehensive, and self-contained treatment. The result is a text for second-year graduate students in economic theory, other social sciences, and evolutionary biology. The book goes beyond filling the gap between texts by Maynard-Smith and Hofbauer and Sigmund that are currently being used in the field. Evolutionary Game Theory will also serve as an introduction for those embarking on research in this area as well as a reference for those already familiar with the field. Weibull provides an overview of the developments that have taken place in this branch of game theory, discusses the mathematical tools needed to understand the area, describes both the motivation and intuition for the concepts involved, and explains why and how it is relevant to economics.

3,119 citations

Journal ArticleDOI
TL;DR: In this paper, evolutionary games are introduced as models for repeated anonymous strategic interaction: actions (or behaviors) which are more "fit" given the current distribution of behaviors, tend over time to displace less fit behaviors.
Abstract: Evolutionary games are introduced as models for repeated anonymous strategic interaction: actions (or behaviors) which are more "fit," given the current distribution of behaviors, tend over time to displace less fit behaviors. Cone fields characterize the continuous-time processes compatible with a given fitness (or payoff) function. For large classes of dynamics, it is shown that all stable steady states are Nash equilibria and that all Nash equilibria are steady states. The biologists' evolutionarily stable strategy condition is shown to be less closely related to the dynamic equilibria. Economic examples and a literature survey are also provided. Copyright 1991 by The Econometric Society.

1,244 citations


"An Evolutionary Game-Theoretic Trus..." refers background in this paper

  • ...a point is stable the Jacobian matrix [14] can be utilized, which is defined as follows:...

    [...]

Journal ArticleDOI
TL;DR: A standard model for application in future IoT healthcare systems is proposed, and the state-of-the-art research relating to each area of the model is presented, evaluating their strengths, weaknesses, and overall suitability for a wearable IoT healthcare system.
Abstract: Internet of Things (IoT) technology has attracted much attention in recent years for its potential to alleviate the strain on healthcare systems caused by an aging population and a rise in chronic illness. Standardization is a key issue limiting progress in this area, and thus this paper proposes a standard model for application in future IoT healthcare systems. This survey paper then presents the state-of-the-art research relating to each area of the model, evaluating their strengths, weaknesses, and overall suitability for a wearable IoT healthcare system. Challenges that healthcare IoT faces including security, privacy, wearability, and low-power operation are presented, and recommendations are made for future research directions.

735 citations


"An Evolutionary Game-Theoretic Trus..." refers background in this paper

  • ...the main goal of supporting the e-healthcare industry by enabling a closer and efficient medical care and diagnosis to a larger population, precisely, for patients with chronic diseases requiring long-term and day-to-day monitoring [1]....

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Journal ArticleDOI
TL;DR: The results of this study show that the technologies of cloud and big data can be used to enhance the performance of the healthcare system so that humans can then enjoy various smart healthcare applications and services.
Abstract: The advances in information technology have witnessed great progress on healthcare technologies in various domains nowadays. However, these new technologies have also made healthcare data not only much bigger but also much more difficult to handle and process. Moreover, because the data are created from a variety of devices within a short time span, the characteristics of these data are that they are stored in different formats and created quickly, which can, to a large extent, be regarded as a big data problem. To provide a more convenient service and environment of healthcare, this paper proposes a cyber-physical system for patient-centric healthcare applications and services, called Health-CPS, built on cloud and big data analytics technologies. This system consists of a data collection layer with a unified standard, a data management layer for distributed storage and parallel computing, and a data-oriented service layer. The results of this study show that the technologies of cloud and big data can be used to enhance the performance of the healthcare system so that humans can then enjoy various smart healthcare applications and services.

682 citations


"An Evolutionary Game-Theoretic Trus..." refers methods in this paper

  • ...In addition, the work in [11] utilized the cloud computing paradigm for the collection, processing and storage of health data, the proposed platform is assumed to...

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Journal ArticleDOI
TL;DR: This paper focuses on the security and privacy requirements related to data flow in MIoT and makes in-depth study on the existing solutions to security andPrivacy issues, together with the open challenges and research issues for future work.
Abstract: Medical Internet of Things, also well known as MIoT, is playing a more and more important role in improving the health, safety, and care of billions of people after its showing up. Instead of going to the hospital for help, patients’ health-related parameters can be monitored remotely, continuously, and in real time, then processed, and transferred to medical data center, such as cloud storage, which greatly increases the efficiency, convenience, and cost performance of healthcare. The amount of data handled by MIoT devices grows exponentially, which means higher exposure of sensitive data. The security and privacy of the data collected from MIoT devices, either during their transmission to a cloud or while stored in a cloud, are major unsolved concerns. This paper focuses on the security and privacy requirements related to data flow in MIoT. In addition, we make in-depth study on the existing solutions to security and privacy issues, together with the open challenges and research issues for future work.

205 citations


"An Evolutionary Game-Theoretic Trus..." refers background in this paper

  • ...In point of fact, the security and privacy of patients’ health data are two crucial aspects that need to be taken into account while managing these data [3]....

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Trending Questions (1)
How can i research trust in personal data sharing over different goverance systems? (on a user level)?

The provided paper does not specifically address researching trust in personal data sharing over different governance systems on a user level.