Smart stock exchange market: A secure predictive decentralized model
| Author | Bansal, Gaurang |
| Author | Hasija, Vikas |
| Author | Chamola, Vinay |
| Author | Kumar, Neeraj |
| Author | Guizani, Mohsen |
| Available date | 2022-12-27T06:32:14Z |
| Publication Date | 2019-12-01 |
| Publication Name | 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings |
| Identifier | http://dx.doi.org/10.1109/GLOBECOM38437.2019.9013787 |
| Citation | Bansal, 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. |
| ISBN | 9781728109626 |
| 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. |
| Language | en |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Subject | Blockchain Commerce FinTech Machine Learning Stock Exchange |
| Type | Conference Paper |
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