Query: blockchain data sharing

title: Blockchain Based Data Sharing for Decentralized Tourism Destinations Recommendation System
abstract: One thing that tourists need to plan their tourism activities is a recommendation system. The tourism destinations recommendation system in this study has three primary nodes, namely user, server, and sensor. Each node requires the ability to share data to produce recommendations that the user expects through their mobile devices. In this paper, we propose the data sharing system scheme uses a blockchain based decentralized network that each node can be connected directly to each other, to support the exchange of data between them. The block architecture used in the blockchain network has three main parts, namely block information, hashes, and data. Each type of node has a different structure and direction of data communication. Where the user node sends destination assessment data to the server node, then the server node sends data from the machine learning process to the user node. The sensor sends dynamic data about popularity, traffic, and weather to the user node as consideration for finalizing the generating recommendations process. In the process of sending data, each node in the blockchain network goes through several functions, including hashing, block validation, chaining block, and broadcast. We conduct web based experiments and analysis of the data sharing system to illustrate the system works. The experimental results show that the system handles data circulation with an average time of mine is 84.5 ms in sending multi criteria assessment data from the user and 119.1 ms in sending data of machine learning result from the server.

title: High Level Design and Rapid Implementation of a Clinical and Non clinical Blockchain Based Data Sharing Platform for COVID 19 Containment
abstract: As the world has moved toward rigorous containment measures due to the spread of a novel coronavirus, it is crucial to push the boundaries of clinical data obtaining methods using real time capturing facilities. During this time of crisis, data centric technologies that could provide authenticity and immediate access to patient data are essential. A blockchain based digital health protocol for access to real time data with user centric data protection measures can achieve these aims. Immediate and secure access to biomedical data can provide credible insights and also help in discovering intelligence to expediate the development of effective therapeutics. It also aids in altering policies for restrictions by extracting key insights required for modeling studies. This paper delivers a high level design of a blockchain based clinical research data collection and health service intervention platform, where the users can exercise control of data. This application also provides a platform to deliver technology based interventions which would assist in streamlining aid for vulnerable users to prevent the NHS from being overwhelmed. Further steps are also recommended to achieve a data compliant solution for rapid deployment, based on available resources, allowing a collaborative effort, which is extremely necessary at times of such crisis.

title: Data sharing: using blockchain and decentralized data technologies to unlock the potential of artificial intelligence: What can assisted reproduction learn from other areas of medicine?
abstract: The extension of blockchain use for nonfinancial domains has revealed opportunities to the health care sector that answer the need for efficient and effective data and information exchanges in a secure and transparent manner. Blockchain is relatively novel in health care and particularly for data analytics, although there are examples of improvements achieved. We provide a systematic review of blockchain uses within the health care industry, with a particular focus on the in vitro fertilization (IVF) field. Blockchain technology in the fertility sector, including data sharing collaborations compliant with ethical data handling within confines of international law, allows for large scale prospective cohort studies to proceed at an international scale. Other opportunities include gamete donation and matching, consent sharing, and shared resources between different clinics.

title: A Blockchain Platform for User Data Sharing Ensuring User Control and Incentives
abstract: We propose a new platform for user modeling with blockchains that allows users to share data without losing control and ownership of it and applied it to the domain of travel booking. Our new platform provides solution to three important problems: ensuring privacy and user control, and incentives for sharing. It tracks who shared what, with whom, when, by what means and for what purposes in a verifiable fashion. The paper presents a case study of applying the framework for a hotel reservation system as one of the enterprise nodes of Multichain which collects users' profile data and allows users to receive rewards while sharing their data with other travel service providers according to their privacy preferences expressed in smart contracts. The user data from the repository is converted into an open data format and shared via stream in the blockchain so that other nodes can efficiently process and use the data. The smart contract verifies and executes the agreed terms of use of the data and transfers digital tokens as a reward to the user. The smart contract imposes double deposit collateral to ensure that all participants act honestly. The paper also presents a performance evaluation of the new platform by analyzing latency and memory consumption with selected three test scenarios and measuring the transaction cost for smart contracts deployment. The results show that the node responded quickly in all our cases with a befitting transaction cost.

title: The Data Sharing Scheme based on Blockchain
abstract: Data sharing is a vital method for data intensive and cooperative work based applications. A central database system, which collects and stores data generated from different parties and provides open access, can not only save costs on infrastructures, but also provide consistent and uptodate data for all the participants. However, privacy and security issues also emerge especially when the shared data is highly sensitive, such as electronic medical records (EMRs) In this paper, we propose a new data sharing scheme with access control based on CP ABE, searchable encryption, and blockchain. We realize two main goals in our scheme. First, data owners can share their data with multiple users who satisfy the access policy rather than just a single user. Second, the difficulty of the ciphertext query is overcome by means of searchable encryption technology. Most importantly, data owners do not need to interact with the data querier in the process of sharing. Both theoretical analysis and practical experiments show that the proposed scheme is secure and efficient.

title: Blockchain Based Service Recommendation Supporting Data Sharing
abstract: With the rapid development of cloud computing, massive web services have appeared quickly with a heavy burden for user to choose services that they preferred. To cope with the stress, many recommendation algorithms have been proposed. Nonetheless, the recommendation effects were not ideal due to the insufficient data in a cloud platform. For this situation, it is necessary for cloud platforms to cooperate with each other to share data. However, the cloud platforms generally do not intend share the data because of the uses' privacy. Meanwhile, the traditional recommendation exist a series of challenges such as security and privacy, data tampering and so on. In order to address the above problems, we propose a blockchain based service recommendation scheme (BPDS SR) which can achieve a higher accuracy and lower cost with more profits.

title: A blockchain based scheme for privacy preserving and secure sharing of medical data
abstract: How to alleviate the contradiction between the patient's privacy and the research or commercial demands of health data has become the challenging problem of intelligent medical system with the exponential increase of medical data. In this paper, a blockchain based privacy preserving scheme is proposed, which realizes secure sharing of medical data between several entities involved patients, research institutions and semi trusted cloud servers. And meanwhile, it achieves the data availability and consistency between patients and research institutions, where zero knowledge proof is employed to verify whether the patient's medical data meets the specific requirements proposed by research institutions without revealing patients' privacy, and then the proxy re encryption technology is adopted to ensure that research institutions can decrypt the intermediary ciphertext. In addition, this proposal can execute distributed consensus based on PBFT algorithm for transactions between patients and research institutions according to the prearranged terms. Theoretical analysis shows the proposed scheme can satisfy security and privacy requirements such as confidentiality, integrity and availability, as well as performance evaluation demonstrates it is feasible and efficient in contrast with other typical schemes.

title: A Consent Model for Blockchain Based Health Data Sharing Platforms
abstract: In modern healthcare systems, the ability to share electronic health records is crucial for providing quality care and for enabling a larger spectrum of health services. Health data sharing is dependent on obtaining individual consent which, in turn, is hindered by a lack of resources. To this extent, blockchain based platforms facilitate data sharing by creating a trusted distributed network of users. These users are enabled to share their data without depending on the time and resources of specific actors (such as the health services) In blockchain based platforms, data governance mechanisms become very important due to the need to specify and monitor data sharing and data use conditions. In this article, we present a blockchain based data sharing consent model for access control over individual health data. We use smart contracts to dynamically represent the individual's consent over health data and to enable data requesters to search and access those data. The dynamic consent model extends to two ontologies: the Data Use Ontology (DUO) which models the individual consent of users and the Automatable Discovery and Access Matrix (ADA M) which describes queries from data requesters. We deploy the model on Ethereum blockchain and evaluate different data sharing scenarios. The contribution of this article consists of the creation of an individual consent model for health data sharing platforms. Such a model guarantees that individual consent is respected and that all the participants in the data sharing platform are accountable. The evaluation of our solution indicates that such a data sharing model provides a flexible decision making approach over data usage by data requesters. Our experimental evaluation shows that the proposed model is efficient and adapts to personalized access control policies in different data sharing scenarios.

title: Industrial Blockchain of Things: A Solution for Trustless Industrial Data Sharing and Beyond
abstract: Industrial Internet of Things (IIoT) is regarded as a promising transformation technology for manufacturing industry. We expect the information flow through along the process of material flow, gauging and collective devices feed IIoT platform with essential data. AI and big data analytical techniques can then be used to process the data to support a series of decision making. Users at both managerial and operational levels can take actions accordingly, which significantly improve management efficiency in one organization, enhance supply chain coordination, and attract investment, etc. Powerful as bigdata and AI technology, they cannot operate without data. In centralized, third party managed IIoT platform, few manufactures are willing to share their critical data. This study extends IIoT framework with blockchain technology to provide a solution for trustless data sharing. The solution embeds encrypted ledger to avoid credential data tampering, employs m in n out smart contracts to secure data exchange, and utilizes consensus mechanism to improve cyber security. The proposed framework integrates blockchain with IIoT to operate the entire industrial data exchange in a decentralized network, namely Industrial Blockchain of Things (IBoT)

title: Blockchain Based Sharing and Tamper Proof Framework of Big Data Networking
abstract: With the development of information technology, big data has had a positive impact on the development of various industries. However, the continued growth of data has led to difficulties in data sharing. Blockchain, with its information sharing characteristics and decentralized management principles, is expected to become the new engine for building a future data sharing platform. Blockchain based data sharing is useful for recording user transactions and sharing of multi platform data. However, this technology not only has challenges in information storage, but also risks in third party transactions. In this article, we propose a big data sharing and transaction framework based on blockchain. This framework uses the blockchain decentralization and openness idea to establish a big data transaction platform for multiple users. For the problem of distributed secure storage of big data in the blockchain, we propose a data tamperproof mechanism that introduces a cryptographic algorithm to prevent transaction data from being tampered with during user storage. The purpose of this article is to ensure transaction security and data reliability when trading in the blockchain.