Kumar Neeraj - Probabilistic Data Structures for Blockchain-Based Internet of Things Applications

Dr. Neeraj Kumar

Prof. Neeraj Kumar received his Ph.D. in CSE from Shri Mata Vaishno Devi University, Katra (Jammu and Kashmir), India in 2009, and was a postdoctoral research fellow in Coventry University, Coventry, UK. He is working as a Professor in the Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology (Deemed to be University), Patiala (Pb.), India. He has published more than 400 technical research papers (which are cited more than 10000 times with current h-index of 55) in top-cited journals, such as IEEE TKDE, IEEE TIE, IEEE TDSC, IEEE TITS, IEEE TCE, IEEE TII, IEEE TVT, IEEE ITS, IEEE SG, IEEE Netw., IEEE Comm., IEEE WC, IEEE IoTJ, IEEE SJ, Computer Networks, Information sciences, FGCS, JNCA, JPDC and ComCom. He has guided many research scholars leading to Ph.D. and M.E./M.Tech. His research is supported by funding from UGC, DST, CSIR, and TCS. His research areas are Network management, IoT, Big Data Analytics, Deep learning and cyber-security. He is serving as editors of the following journals of repute.

• ACM Computing Survey, ACM

• IEEE Transactions on Sustainable Computing, IEEE

• IEEE Systems Journal, IEEE

• IEEE Network Magazine, IEEE

• IEEE Communication Magazine, IEEE

• Journal of Networks and Computer Applications, Elsevier

• Computer Communication, Elsevier

• International Journal of Communication Systems, Wiley

Also, he has been a guest editor of various International Journals of repute, such as - IEEE Access, IEEE ITS, Elsevier CEE, IEEE Communication Magazine, IEEE Network Magazine, Computer Networks, Elsevier, Future Generation Computer Systems, Elsevier, Journal of Medical Systems. Springer, Computer and Electrical Engineering, Elsevier, Mobile Information Systems, International Journal of Ad hoc and Ubiquitous Computing, Telecommunication Systems, Springer and Journal of Supercomputing, Springer. He has also edited/authored 10 books with International/National Publishers like IET, Springer, Elsevier, CRC. Security and Privacy of Electronic Healthcare Records: Concepts, paradigms and solutions (ISBN-13: 978-1-78561-898-7), Machine Learning for cognitive IoT, CRC Press, Blockchain, Big Data and IoT, Blockchain Technologies across industrial vertical, Elsevier, Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms and Solutions (ISBN: 978-981-13-8759-3), Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019) (ISBN 978-981-15-3369-3). One of the edited text-book entitled, Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms, and Solutions published in Springer in 2019 is having 3.5 million downloads till 06 June 2020.It attracts attention of the researchers across the globe. (https://www.springer.com/in/book/9789811387586)

He has been a workshop chair at IEEE Globecom 2018 and IEEE ICC 2019 and TPC Chair and member for various International conferences, such as IEEE MASS 2020, IEEE MSN2020. He is senior member of the IEEE. He has won the best papers award from IEEE Systems Journal and ICC 2018, Kansas-city in 2018. He has been listed in the highly cited researcher of 2019 list of web of science (WoS). In India, he is listed at 13 position among highly cited researchers list. He is adjunct professor at Asia University, Taiwan, King Abdul Aziz University, Jeddah, Saudi Arabia and Charles Darwin University, Australia.

Mrs. Arzoo Miglani

Arzoo Miglani is currently pursuing Ph.D. from Thapar Institute of Engineering & Technology (TIET), Patiala. She had worked with DIT University, Dehradun for 2 years as an assistant professor and with TIET for 1 year. She has done her ME in Information Security from TIET in 2015. She has completed her B.tech from GJU, Hisar in 2009. She is GATE qualified. Her research area includes Wireless Sensor networks and network security, blockchain and content centric networking.

First edition published [2021]

by CRC Press

6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742

and by CRC Press

2 Park Square, Milton Park, Abingdon, Oxon, OX14 4RN

2021 Taylor & Francis Group, LLC

CRC Press is an imprint of Taylor & Francis Group, LLC

The right of Neeraj Kumar and Arzoo Miglanito be identified as authors of this work has been asserted by them in accordance with sections 77 and 78 of the Copyright, Designs and Patents Act 1988.

Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint.

Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers.

For permission to photocopy or use material electronically from this work, access

Trademark notice: Product or corporate names may be trademarks or registered trademarks and are used only for identification and explanation without intent to infringe.

ISBN: 978-0-367-52990-1 (hbk)

ISBN:978-0-367-52994-9 (pbk)

ISBN:978-1-003-08004-6 (ebk)

I am delighted to write this foreword, not only because the authors are my colleague but also because I believe in the collaboration of two different technologies to enrich the real-world problem. This book combines two interesting topics, i.e., probabilistic data structure and blockchain technology. When I first heard about the concept of this book, I was pleased as this book is coming up with a new concept. Reading this book readers will find develop a reason on usage of probabilistic data structures for blockchain technology that too in easy and most understandable language. To make the concepts more clear, examples have been taken by the authors. Moreover, for preparing questions and classroom activities, each chapter contains a set of MCQ's and some questions. Even if you don't have any good computer science experience, this book explains concepts from basics.

The blockchain technology is growing rapidly. The biggest challenge that blockchain technology faces is the storage issue. Some believe blockchain technology is not getting much popularity because of data deduplication which leads to high space requirements and query processing on blockchain data takes a lot of time. I believe this book is one of the best investments to answer those minds. This book aims to discuss techniques to analyze big data on blockchain databases with less storage and minimized time complexity making use of probabilistic data structures. Probabilistic data structure eases query execution keeping a huge amount of data in mind. Also, the practical execution of probabilistic data structure and blockchain is shown using Python language. This book is introduced for technology practitioners, software developers, researchers, professional developers, students, teachers, and decision-makers.