Vadlamani Ravi - Handbook of Big Data Analytics, Volume 2: Applications in ICT, security and business analytics

Sumaiya Thaseen Ikram, Aswani Kumar Cherukuri, Gang Li and Xiao Liu

Sivashanmugam Radhika and Arumugam Chandrasekar

Jayashree Pougajendy, Arun Raj Kumar Parthiban and Sarath Babu

Praveen Kumar Premkamal,, , Syam Kumar Pasupuleti and Alphonse PJA

Remya Krishnan Pacheeri and Arun Raj Kumar Parthiban

Amit Kumar Tyagi, Keesara Sravanthi and Gillala Rekha

Chittaranjan Hota and Sanket Mishra

Chaitanya Kanchibhotla, Venkata Lakshmi Narayana Somayajulu Durvasula and Radha Krishna Pisipati

Lakshmikanth Paleti, , P. Radha Krishna and J.V.R. Murthy

Vaidyanathan Subramanian and Arya Ketan

Sheikh Kamaruddin, and Vadlamani Ravi

Rohit Gavval, , Vadlamani Ravi, Kalavala Revanth Harsha, , Akhilesh Gangwar and Kumar Ravi

Satish Doppalapudi, and Vadlamani Ravi

Rasmi Ranjan Khansama, Vadlamani Ravi, Akshay Raj Gollahalli, Neelava Sengupta, Nikola K. Kasabov and Imanol Bilbao-Quintana

Karthick Seshadri

Wolfgang Breymann, Nils Bundi and Kurt Stockinger

Vadlamani Ravi and Aswani Kumar Cherukuri

IET COMPUTING SERIES 37

Handbook of Big Data Analytics

Volume 2: Applications in ICT, security and business analytics

Edited by
Vadlamani Ravi and Aswani Kumar Cherukuri

The Institution of Engineering and Technology

Published by The Institution of Engineering and Technology, London, United Kingdom

The Institution of Engineering and Technology is registered as a Charity in England & Wales (no. 211014) and Scotland (no. SC038698).

The Institution of Engineering and Technology 2021

First published 2021

This publication is copyright under the Berne Convention and the Universal Copyright Convention. All rights reserved. Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may be reproduced, stored or transmitted, in any form or by any means, only with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms of licences issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publisher at the undermentioned address:

The Institution of Engineering and Technology

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While the authors and publisher believe that the information and guidance given in this work are correct, all parties must rely upon their own skill and judgement when making use of them. Neither the authors nor publisher assumes any liability to anyone for any loss or damage caused by any error or omission in the work, whether such an error or omission is the result of negligence or any other cause. Any and all such liability is disclaimed.

The moral rights of the authors to be identified as authors of this work have been asserted by them in accordance with the Copyright, Designs and Patents Act 1988.

British Library Cataloguing in Publication Data

A catalogue record for this product is available from the British Library

ISBN 978-1-83953-059-3 (hardback Volume 2)

ISBN 978-1-83953-060-9 (PDF Volume 2)

ISBN 978-1-83953-064-7 (hardback Volume 1)

ISBN 978-1-83953-058-6 (PDF Volume 1)

ISBN 978-1-83953-061-6 (2 volume set)

Typeset in India by MPS Limited

Printed in the UK by CPI Group (UK) Ltd, Croydon

Editor-in-Chief: Professor Albert Y. Zomaya, University of Sydney, Australia

The topic of Big Data has emerged as a revolutionary theme that cuts across many technologies and application domains. This new book series brings together topics within the myriad research activities in many areas that analyse, compute, store, manage and transport massive amounts of data, such as algorithm design, data mining and search, processor architectures, databases, infrastructure development, service and data discovery, networking and mobile computing, cloud computing, high-performance computing, privacy and security, storage and visualization.

Topics considered include (but not restricted to) IoT and Internet computing; cloud computing; peer-to-peer computing; autonomic computing; data centre computing; multi-core and many core computing; parallel, distributed and high-performance computing; scalable databases; mobile computing and sensor networking; Green computing; service computing; networking infrastructures; cyberinfrastructures; e-Science; smart cities; analytics and data mining; Big Data applications and more.

Proposals for coherently integrated International co-edited or co-authored handbooks and research monographs will be considered for this book series. Each proposal will be reviewed by the Editor-in-Chief and some board members, with additional external reviews from independent reviewers. Please email your book proposal for the IET Book Series on Big Data to Professor Albert Y. Zomaya at albert.zomaya@sydney.edu.au or to the IET at author_support@theiet.org.