Blockchain for data sharing

Cognizant has teamed up with 14 Indian insurance firms on the development of a blockchain solution for cross-company data sharing. The IT multinational said in a statement on Monday that the platform was designed to allow firms to securely share data with lower risk of data breaches and fraud, while offering greater efficiency, better record-keeping and faster turnaround than with traditional methods. Anand Pejawar, president of operations at SBI Life, said that the decentralized and immutable nature of blockchains, which provide the ability to combat document tampering and false billing, are opening up new models for insurers. By storing data on blockchain, the statement adds, insurers will see benefits including reduced operating costs and duplication of processes. Arun Baid, global delivery head for insurance at Cognizant, commented, "As a shared source of truth, blockchain opens numerous possibilities for insurers to collaborate more effectively and transparently, make better informed decisions, and create greater trust and accountability, while disintermediating data aggregators.



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WATCH RELATED VIDEO: A Blockchain-Based Data-Sharing Scheme for Inter-Vehicular Safety Applications

Privacy and blockchain


Datapace offers blockchain powered secure transactions and automated smart contracts to sell and buy data streams. Datapace data marketplace can be used to stream many data from any source, IoT devices, physical assets, autonomous cars, drones, and many more. It enables you to integrate 3rd party data and monetize it through the same marketplace. Datapace storage encrypt and anonymize the access to the submitted data streams. Once the transaction is completed the tokens are distributed among the parties according to agreed prices.

Sensors from the trusted partners are provided with Datapace signature software which proves credibility, validity and source of the streamed data. Datapace guarantee validity and the value of the streamed data, sent by Datapace trusted partner sensors, other sources of data will need to prove credibility in the Datapace marketplace. Join Datapace data market, sell trusted data streams or buy trusted worldwide data in a simple click.

Use geofencing to filter streams and sources. Automated, secure and fast transactions with no sales representatives and no bank fees, saving time and resources. Enables complete transaction traceability since day zero, Allows proven track of records of all executed transactions. A simple way to filter and select data stream using an interactive geofencing map modules. The global network of sensors and telemetry equipped locations provided by certified and credible partners.

Verified data source through hardware certification program and partnerships ensures data accuracy. Fast transaction finality instant automated transactions with thousands of transaction per second at ms latencies. Blockchain enabled microtransaction management ensures fast, scalable, low fees transactions and fair and secure functioning of the system.

Datapace is an marketplace for IoT sensor data. Datapace is distributed and decentralized system based on blockchain. Blockchain technology is used for several important purposes in Datapace system:.

Datapace is based on private and permissioned enterprise blockchain, which means:. Expert on telecom innovation, specializing in strategy and business development. Drasko is an IoT expert with over 15 years of professional experience. Drasko earned his reputation in open-source community as an author of numerous projects - like WeIO or Mainflux.

Drasko is an author of the book "Scalable Architecture for the Internet of Things" published by O'Reilly and vivid conference speaker, sharing his thoughts on modern software design and how Internet should be decentralized. He joined Nokia in and held several positions including research, system architecture, startup integration and strategy.

He is also involved in program committees of several international conferences and magazines on M2M and IoT. He is a recognized IoT industry thought leader and is regularly invited as a panelist or keynote speaker at IoT industry events. Over the last 10 years in sales he has led technical sales teams and managed sales over wide geographical areas as well as has been the mind behind many important worldwide strategic business decisions for Nokia.

The entities submit their data streams. Buyer acquire the desired data stream through an automated smart contract. Sensor Sensors from the trusted partners are provided with Datapace signature software which proves credibility, validity and source of the streamed data. Data Datapace guarantee validity and the value of the streamed data, sent by Datapace trusted partner sensors, other sources of data will need to prove credibility in the Datapace marketplace.

Market Join Datapace data market, sell trusted data streams or buy trusted worldwide data in a simple click. Datapace Data market Benefits. Smart Contract. Smart Contract Automated, secure and fast transactions with no sales representatives and no bank fees, saving time and resources.

Traceability Enables complete transaction traceability since day zero, Allows proven track of records of all executed transactions. Global network of sensors. Global network of sensors The global network of sensors and telemetry equipped locations provided by certified and credible partners. Data verification. Data verification Verified data source through hardware certification program and partnerships ensures data accuracy.

Fast transactions. Fast transactions Fast transaction finality instant automated transactions with thousands of transaction per second at ms latencies. Micropayments Blockchain enabled microtransaction management ensures fast, scalable, low fees transactions and fair and secure functioning of the system.

Learn more how Datapace works. Read our documents datasheet whitepaper. Blockchain technology is used for several important purposes in Datapace system: To enable Smart Contract capabilities To provide network security via PBFT consensus and immutability and make the system hack-proof To ensure data integrity i.

Chief Technical Officer - Solution Architect. Featured in. Seller Information Your Email. Your name. Tell us what data you want to sell? Buyer Information Your Email. Tell us what data you want to buy?



Leverage Blockchain-based Data Sharing for AI-powered Networks [A How-To Guide]

Try out PMC Labs and tell us what you think. Learn More. Blockchain technology is the most trusted all-in-one cryptosystem that provides a framework for securing transactions over networks due to its irreversibility and immutability characteristics. Blockchain network, as a decentralized infrastructure, has drawn the attention of various startups, administrators, and developers. This system preserves transactions from tampering and provides a tracking tool for tracing past network operations. A personal health record PHR system permits patients to control and share data concerning their health conditions by particular peoples. In the case of an emergency, the patient is unable to approve the emergency staff access to the PHR.

blockchain, data sharing, decentralization, interoperability, medical imaging. Introduction. Imaging studies are one of the leading drivers of modern.

Information Protection and Secure Data Sharing Blockchain Tool

Datapace offers blockchain powered secure transactions and automated smart contracts to sell and buy data streams. Datapace data marketplace can be used to stream many data from any source, IoT devices, physical assets, autonomous cars, drones, and many more. It enables you to integrate 3rd party data and monetize it through the same marketplace. Datapace storage encrypt and anonymize the access to the submitted data streams. Once the transaction is completed the tokens are distributed among the parties according to agreed prices. Sensors from the trusted partners are provided with Datapace signature software which proves credibility, validity and source of the streamed data. Datapace guarantee validity and the value of the streamed data, sent by Datapace trusted partner sensors, other sources of data will need to prove credibility in the Datapace marketplace. Join Datapace data market, sell trusted data streams or buy trusted worldwide data in a simple click. Use geofencing to filter streams and sources. Automated, secure and fast transactions with no sales representatives and no bank fees, saving time and resources.


A blockchain-assisted framework for secure and reliable data sharing in distributed systems

blockchain for data sharing

Predictive maintenance customers of industrial equipment producer Robert Bosch will soon be able to leverage blockchain to exchange data with peers without triggering privacy controls. Bosch and Fetch started their collaboration in and completed an initial pilot earlier this year. Predictive maintenance enables artificial intelligence AI to learn from data produced from industrial devices and predict the likelihood of critical failures. While it has potential to reduce machinery downtime, Bosch and Fetch believe individual plants produce insufficient data to train the predictive AI from. By implementing blockchain, Bosch expects clients to opt into sharing anonymized data with one another.

The starting point was to address issues such as how cars could share data to prevent a crash and how someone could use a single app and payment for a daily commute that might use several modes of transport. In turn, that could enable new business models.

A Blockchain Platform for User Data Sharing Ensuring User Control and Incentives

Meanwhile, the health-related mobile apps and devices also generate a large amount of medical data, which is critical for promoting disease research and diagnosis. However, medical data is too sensitive to share, which is also a common issue for IoT Internet of Things data. The traditional centralized cloud-based medical data sharing schemes have to rely on a single trusted third party. Therefore, the schemes suffer from single-point failure and lack of privacy protection and access control for the data. Blockchain is an emerging technique to provide an approach for managing data in a decentralized manner.


5 Blockchain Platforms for Better Use of Data

Special Issue: Computer Architecture and Systems. With the development of network technology and cloud computing, data sharing is becoming increasingly popular, and many scholars have conducted in-depth research to promote its flourish. As the scale of data sharing expands, its privacy protection has become a hot issue in research. Moreover, in data sharing, the data is usually maintained in multiple parties, which brings new challenges to protect the privacy of these multi-party data. In this paper, we propose a trusted data sharing scheme using blockchain. We use blockchain to prevent the shared data from being tampered with, and use the Paillier cryptosystem to realize the confidentiality of the shared data. In the proposed scheme, the shared data can be traded, and the transaction information is protected by using the p, t -threshold Paillier cryptosystem. We conduct experiments in cloud storage scenarios and the experimental results demonstrate the efficiency and effectiveness of the proposed scheme.

Ghostor leverages a blockchain rarely, publishing only a single hash to the blockchain for the entire system once every epoch. We measured that Ghostor incurs a.

Blockchain-based data sharing for decentralized tourism destinations recommendation system

Standard deviation measures how dispersed returns are around the average. A higher standard deviation indicates that returns are spread out over a larger range of values and thus, more volatile. Access to companies involved in blockchain technology and indirect crypto exposure. Active management: Allows the ETF to make timely decisions and assess opportunities and risks in this fast-developing space.


Data sharing is very common in the era of big data and artificial intelligence as the convergence of data is the most prerequisite section of big data and machine intelligence happens based on high volume data feed. Blockchain is a new emerging technology, which holds vast possibilities and benefits to improve traceability and accountability of its stored data. It has significant advantages in unlocking the full potential of data sharing in multi-party scenarios. In this chapter, we introduce the basics of blockchain, which are organized into five layers: data layer, network layer, consensus layer, incentive layer and application layer. The details of each layer are elaborated accordingly.

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.

Data-sharing systems are often used to store sensitive data. Both academia and industry have proposed numerous solutions to protect the user privacy and data integrity from a compromised server. Practical state-of-the-art solutions, however, use weak threat models based on centralized trust —they assume that part of the server will remain uncompromised, or that the adversary will not perform active attacks. We propose Ghostor, a data-sharing system that, using only decentralized trust , 1 hides user identities from the server, and 2 allows users to detect server-side integrity violations. To achieve 1 , Ghostor avoids keeping any per-user state at the server, requiring us to redesign the system to avoid common paradigms like per-user authentication and user-specific mailboxes. To achieve 2 , Ghostor develops a technique called verifiable anonymous history.

With the development of big data, data sharing has become increasingly popular and important in optimizing resource allocation and improving information utilization. However, the expansion of data sharing means there is an urgent need to address the issue of the privacy protection - an area where the emerging blockchain technology offers considerable advantages. Although there are a large number of research papers on data sharing modeling and analysis of network security, there are few books dedicated to blockchain-based secure data sharing. Filing this gap in the literature, the book proposes a new data-sharing model based on the blockchain system, which is being increasingly used in medical and credit reporting contexts.


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  1. Conner

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