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NoSQL Security: Can My Data-driven Decision-making Be Influenced from Outside?

Anastasija Nikiforova (University of Tartu, Estonia)
Artjoms Daskevics (University of Latvia, Latvia)
Otmane Azeroual (German Centre for Higher Education Research and Science Studies (DZHW), Germany)

Big Data and Decision-Making: Applications and Uses in the Public and Private Sector

ISBN: 978-1-80382-552-6, eISBN: 978-1-80382-551-9

Publication date: 30 January 2023

Abstract

Nowadays, there are billions interconnected devices forming Cyber-Physical Systems (CPS), Internet of Things (IoT) and Industrial Internet of Things (IIoT) ecosystems. With an increasing number of devices and systems in use, amount and the value of data, the risks of security breaches increase. One of these risks is posed by open data sources, which are databases that are not properly protected. These poorly protected databases are accessible to external actors, which poses a serious risk to the data holder and the results of data-related activities such as analysis, forecasting, monitoring, decision-making, policy development, and the whole contemporary society. This chapter aims at examining the state of the security of open data databases representing both relational databases and NoSQL, with a particular focus on a later category.

Keywords

Citation

Nikiforova, A., Daskevics, A. and Azeroual, O. (2023), "NoSQL Security: Can My Data-driven Decision-making Be Influenced from Outside?", Visvizi, A., Troisi, O. and Grimaldi, M. (Ed.) Big Data and Decision-Making: Applications and Uses in the Public and Private Sector (Emerald Studies in Politics and Technology), Emerald Publishing Limited, Bingley, pp. 59-73. https://doi.org/10.1108/978-1-80382-551-920231005

Publisher

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Emerald Publishing Limited

Copyright © 2023 Anastasija Nikiforova, Artjoms Daskevics and Otmane Azeroual