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    Smart stock exchange market: A secure predictive decentralized model

    Thumbnail
    Date
    2019-12-01
    Author
    Bansal, Gaurang
    Hasija, Vikas
    Chamola, Vinay
    Kumar, Neeraj
    Guizani, Mohsen
    Metadata
    Show full item record
    Abstract
    Stock exchanges around the world are exploring the best possible solution that can improve trading efficiency, lower the risks and tighten secu- rity levels. The working and functioning of a stock exchange involves very hectic and cumbersome pro- cedures which are time consuming, cost inefficient and can be prone to numerous risks. Machine learning and Blockchain are most popular upcoming technologies. In this paper we present a novel secure and de- centralized intelligent stock market prediction model. We present a blockchain based solution for stock exchange model that uses machine learning accessible smart contracts. The machine learning model makes a prediction on the future of the stock market providing an intelligent solution for secure stock market.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85074647993&origin=inward
    DOI/handle
    http://dx.doi.org/10.1109/GLOBECOM38437.2019.9013787
    http://hdl.handle.net/10576/37614
    Collections
    • Computer Science & Engineering [‎2428‎ items ]

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