Table Of ContentAdvanced Smart
Computing Technologies
in Cybersecurity
and Forensics
Advanced Smart
Computing Technologies
in Cybersecurity
and Forensics
Edited by
Keshav Kaushik
Shubham Tayal
Akashdeep Bhardwaj
Manoj Kumar
First edition published 2022
by CRC Press
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and by CRC Press
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© 2022 selection and editorial matter, Keshav Kaushik, Shubham Tayal, Akashdeep Bhardwaj, and Manoj
Kumar; individual chapters, the contributors
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Library of Congress Cataloging-in-Publication Data
Names: Kaushik, Keshav, editor. | Tayal, Shubham, editor. | Bhardwaj,
Akashdeep, 1971- editor. | Kumar, Manoj (Professor of computer science), editor.
Title: Advanced smart computing technologies in cybersecurity and forensics / edited by Keshav
Kaushik, Shubham Tayal, Akashdeep Bhardwaj, and Manoj Kumar.
Description: First edition. | Boca Raton : CRC Press, 2022. | Includes bibliographical references and
index. | Summary: “This book addresses the topics related to artificial intelligence, internet of
things, blockchain technology, and machine learning and brings together researchers, developers,
practitioners, and users interested in cybersecurity and forensics”-- Provided by publisher.
Identifiers: LCCN 2021036513 (print) | LCCN 2021036514 (ebook) | ISBN 9780367686505 (hardback)
| ISBN 9780367690137 (paperback) | ISBN 9781003140023 (ebook)
Subjects: LCSH: Computer security. | Computer crimes--Investigation.
Classification: LCC QA76.9.A25 A354 2022 (print) | LCC QA76.9.A25 (ebook)
| DDC 005.8--dc23/eng/20211007
LC record available at https://lccn.loc.gov/2021036513
LC ebook record available at https://lccn.loc.gov/2021036514
ISBN: 978-0-367-68650-5 (hbk)
ISBN: 978-0-367-69013-7 (pbk)
ISBN: 978-1-003-14002-3 (ebk)
DOI: 10.1201/9781003140023
Typeset in Times
by SPi Technologies India Pvt Ltd (Straive)
To Those Who Inspired This Book but Will Never Read It!
Contents
Preface .......................................................................................................................ix
Acknowledgements ...................................................................................................xi
Editor Biographies ..................................................................................................xiii
Contributors .............................................................................................................xv
Chapter 1 Detection of Cross-Site Scripting and Phishing Website
Vulnerabilities Using Machine Learning .............................................1
J. Charu, S. Sunil, and C. Aarti
Chapter 2 A Review: Security and Privacy Defensive Techniques for
Cyber Security Using Deep Neural Networks (DNNs) ......................11
Prachi Chauhan, Hardwari Lal Mandoria, and Alok Negi
Chapter 3 DNA-Based Cryptosystem for Connected Objects and
IoT Security ........................................................................................23
Brahim Belhorma, Mounir Bouhedda, Billel Bengherbia, and
Omar Benzineb
Chapter 4 A Role of Digital Evidence: Mobile Forensics Data ..........................47
G. Maria Jones, S. Godfrey Winster, and L. Ancy Geoferla
Chapter 5 Analysis of Kernel Vulnerabilities Using Machine Learning .............65
Supriya Raheja, Rakesh Garg, and Bhavya Gururani
Chapter 6 Cyber Threat Exploitation and Growth during COVID-19 Times .....85
Romil Rawat, Bhagwati Garg, Vinod Mahor, Mukesh Chouhan,
Kiran Pachlasiya, and Shrikant Telang
Chapter 7 An Overview of the Cybersecurity in Smart Cities in the
Modern Digital Age ..........................................................................103
Reinaldo Padilha França, Ana Carolina Borges Monteiro,
Rangel Arthur, and Yuzo Iano
vii
viii Contents
Chapter 8 The Fundamentals and Potential for Cyber Security of Machine
Learning in the Modern World .........................................................119
Ana Carolina Borges Monteiro, Reinaldo Padilha França, Rangel
Arthur, and Yuzo Iano
Chapter 9 Qualitative and Quantitative Evaluation of Encryption
Algorithms ........................................................................................139
Rakesh Garg, Supriya Raheja, and Durgesh Pandey
Chapter 10 Analysis and Investigation of Advanced Malware Forensics ...........153
P. S. Apirajitha, S. Punitha, and Stephan Thompson
Chapter 11 Network Intrusion Detection System Using Naïve Bayes
Classification Technique for Anomaly Detection .............................167
Sam Goundar, Manveer Singh, Rahul Chand, and Akashdeep
Bhardwaj
Chapter 12 Data Security Analysis in Mobile Cloud Computing for
Cyber Security ..................................................................................189
Sam Goundar and Akashdeep Bhardwaj
Chapter 13 A Comprehensive Review of Investigations of Suspects of
Cyber Crimes ....................................................................................203
Nehinbe Joshua Ojo
Chapter 14 Fault Analysis Techniques in Lightweight Ciphers for IoT
Devices .............................................................................................223
Priyanka Joshi and Bodhisatwa Mazumdar
Index ......................................................................................................................241
Preface
Advanced Smart Computing Technologies in Cybersecurity and Forensics
(ASCTCSF) by CRC Press, Taylor & Francis Group, USA is a brainchild of Keshav
Kaushik, Dr. Shubham Tayal, Dr. Akashdeep Bhardwaj, and Dr. Manoj Kumar.
Advanced practices of cybersecurity and forensics help solve real-life problems and
provide solutions to secure user data and help our daily lives, to make the world a
better, more secure place. Here we share our ideas in form of a book.
Big thanks to all our co-authors, who are experts in their own domains, for sharing
their experience and knowledge. This book is an attempt to compile their ideas in the
form of chapters to share with the world. This book provides insights into Machine
Learning, Artificial Intelligence, and real-time new age domain to supplement Cyber
Security Operations, Governance, Compliance, Policies, Risk Management, and VA/
PT. The book also looks at Cybersecurity for Big Data, IoT and Blockchain, and
Threat Modeling. The book will be helpful for security professionals, academicians,
scientists, advanced-level students, penetration testers, and researchers working in
the field of cybersecurity and forensics.
ix
