Data-Centric Business and Applications ICT Systems-Theory, Radio-Ele

This book addresses the challenges and opportunities of information/data processing and management. It also covers a range of methods, techniques and strategies for making it more efficient, approaches to increasing its usage, and ways to minimize informa

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Tamara Radivilova · Dmytro Ageyev · Natalia Kryvinska Editors

Data-Centric Business and Applications ICT Systems-Theory, Radio-Electronics, Information Technologies and Cybersecurity (Volume 5)

Lecture Notes on Data Engineering and Communications Technologies Volume 48

Series Editor Fatos Xhafa, Technical University of Catalonia, Barcelona, Spain

The aim of the book series is to present cutting edge engineering approaches to data technologies and communications. It will publish latest advances on the engineering task of building and deploying distributed, scalable and reliable data infrastructures and communication systems. The series will have a prominent applied focus on data technologies and communications with aim to promote the bridging from fundamental research on data science and networking to data engineering and communications that lead to industry products, business knowledge and standardisation. ** Indexing: The books of this series are submitted to SCOPUS, ISI Proceedings, MetaPress, Springerlink and DBLP **

More information about this series at http://www.springer.com/series/15362

Tamara Radivilova Dmytro Ageyev Natalia Kryvinska •



Editors

Data-Centric Business and Applications ICT Systems-Theory, Radio-Electronics, Information Technologies and Cybersecurity (Volume 5)

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Editors Tamara Radivilova V.V. Popovskyy department of Infocommunication Engineering, Faculty of Infocommunication Kharkiv National University of Radio Electronics Kharkiv, Ukraine

Dmytro Ageyev V.V. Popovskyy department of Infocommunication Engineering, Faculty of Infocommunication Kharkiv National University of Radio Electronics Kharkiv, Ukraine

Natalia Kryvinska Department of e-Business, Faculty of Business, Economics and Statistics University of Vienna Vienna, Austria

ISSN 2367-4512 ISSN 2367-4520 (electronic) Lecture Notes on Data Engineering and Communications Technologies ISBN 978-3-030-43069-6 ISBN 978-3-030-43070-2 (eBook) https://doi.org/10.1007/978-3-030-43070-2 © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither th