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AuthorBansal, Gaurang
AuthorHasija, Vikas
AuthorChamola, Vinay
AuthorKumar, Neeraj
AuthorGuizani, Mohsen
Available date2022-12-27T06:32:14Z
Publication Date2019-12-01
Publication Name2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings
Identifierhttp://dx.doi.org/10.1109/GLOBECOM38437.2019.9013787
CitationBansal, G., Hasija, V., Chamola, V., Kumar, N., & Guizani, M. (2019, December). Smart stock exchange market: A secure predictive decentralized model. In 2019 IEEE Global Communications Conference (GLOBECOM) (pp. 1-6). IEEE.‏
ISBN9781728109626
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85074647993&origin=inward
URIhttp://hdl.handle.net/10576/37614
AbstractStock 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.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectBlockchain
Commerce
FinTech
Machine Learning
Stock Exchange
TitleSmart stock exchange market: A secure predictive decentralized model
TypeConference Paper
dc.accessType Abstract Only


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