Table Of ContentSecurity and Privacy
Trends in Cloud
Computing and Big Data
Security and Privacy
Trends in Cloud
Computing and Big Data
Edited by
Muhammad Imran Tariq
Valentina Emilia Balas
Shahzadi Tayyaba
First edition published 2022
by CRC Press
6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742
and by CRC Press
4 Park Square, Milton Park, Abingdon, Oxon, OX14 4RN
CRC Press is an imprint of Taylor & Francis Group, LLC
© 2022 Taylor & Francis Group, LLC
Reasonable eforts 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. Te 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, microflming, 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 www.
copyright.com or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive,
Danvers, MA 01923, 978-750-8400. For works that are not available on CCC please contact
[email protected]
Trademark notice: Product or corporate names may be trademarks or registered trademarks and
are used only for identifcation and explanation without intent to infringe.
ISBN: 9780367619626 (hbk)
ISBN: 9781032261690 (pbk)
ISBN: 9781003107286 (ebk)
DOI: 10.1201/9781003107286
Typeset in Sabon
by codeMantra
Contents
Preface vii
Editors ix
Contributors xi
1 Information security framework for cloud and
virtualization security 1
MUHAMMAD IMRAN TARIQ, SHAHZADI TAYYABA,
MUHAMMAD ARFAN JAFFAR, MUHAMMAD WASEEM ASHRAF,
SHARIQ AZIZ BUTT, AND MUHAMMAD ARIF
2 Security, integrity, and privacy of cloud computing and
big data 19
MUHAMMAD SALMAN MUSHTAQ, MUHAMMAD YOUSAF MUSHTAQ,
MUHAMMAD WASEEM IQBAL, AND SYED AAMER HUSSAIN
3 The ways of networks intrusion their
detection and prevention 53
ALI IMRAN AND AHSAN IMTIAZ
4 Cloud-based face recognition for low resource clients 73
M. ZAIN ABBAS, JUNAID BABER, MAHEEN BAKHTYAR, AZAM KHAN, AND
ADNAN SAEED
5 Data mining security for big data 85
IRUM NAZ SODHAR, AKHTAR HUSSAIN JALBANI, ABDUL HAFEEZ BULLER,
AND ANAM NAZ SODHAR
6 Cloud computing security challenges and their solutions 103
RIMSHA KHALID, KHOWLA KHALIQ, MUHAMMAD IMRAN TARIQ,
SHAHZADI TAYYABA, MUHAMMAD ARFAN JAFFAR, AND MUHAMMAD ARIF
v
vi Contents
7 Security algorithms for secure cloud environment 119
MARYAM SALEEM, MARYAM RASHEED, MUHAMMAD IMRAN TARIQ,
SHAHZADI TAYYABA, AND MUHAMMAD ARFAN JAFFAR
8 Cloud computing security challenges, analysis of security
problems and cloud computing forensics issues 147
MUHAMMAD TAHIR ZAMAN AND MARYAM RANI
9 Impact of big data in healthcare and management analysis 165
SHAHRA ASIF HAAFZA, MUHAMMAD SUBHAN DAR,
MUHAMMAD IMRAN TARIQ, MUHAMMAD ARFAN JAFFAR,
AND SHARIQ AZIZ BUTT
10 Privacy and security issues of big data 191
MUHAMMAD ARSLAN YOUSAF, MUHAMMAD IMRAN TARIQ,
SHAHZADI TAYYABA, AND SHARIQ AZIZ BUTT
Index 213
Preface
Cloud computing and big data are two emerging paradigms in the recent
developments of information technology. The big data paradigm is applied
to complex data and to the dataset whose size is beyond the competency
of traditional computing services. Due to the innovation of big data, this
technology is exposed to vulnerabilities, new risks, and threats due to a
substantial volume of data and also different types of data. Cloud comput-
ing provides IT services in a pay-per-use fashion with great other benefts.
Although there are many benefts of cloud computing and big data, there
are many signifcant roadblocks to adoption. In today’s era of cloud com-
puting and big data, the most signifcant barriers to adoption are security
and privacy, followed by other issues such as vendor lock-in, portability,
and scalability.
An organization needs to know before getting involved in cloud comput-
ing and big data, what are the key security requirements, aspects to ensure
high security to applications, and data processing. Big data and cloud com-
puting are integrated in practice. Cloud computing offers massive storage,
high computation power, and distributed capability for the support of pro-
cessing big data. Therefore, organizations are demanding to investigate the
security and privacy of both cloud computing and big data.
This book is written for a computer scientist, a practitioner who is work-
ing on cloud computing and big data, a research community working on
cloud computing and big data, security and privacy and risk mitigation
techniques. This book was developed to introduce cloud developers, data
mining engineers, and system programmers to new approaches to deal with
threats, risks, and vulnerabilities inherent in cloud computing and big data.
The book is handy for working professionals, managers, researchers, aca-
demicians, research scholars, and industry experts to deal with cloud and
big data security challenges. The rationale of the study is to provide useful
information gleaned from research to stakeholders of cloud computing and
big data and their security. These are very broad topics and it is diffcult to
cover each aspect of these topics. We described the virtualization of cloud
computing, cloud service and development models, protocols used in the
cloud and big data, face recognition, bandwidth issues, security and privacy
vii
viii Preface
challenges, cloud storage issues, mobile cloud computing, the impact of
cloud computing, and big data on healthcare, data mining security issues,
roles of big data in the Internet of Things, as well as the cloud security
framework.
The key features of the book are current security and privacy challenges
and their countermeasures, which will help readers select the best secu-
rity mitigation techniques and apply them. The editors and contributing
authors tried and their level best to cover many of the topics related to the
security and privacy of cloud computing and big data, plus much additional
information. However, this book attempts to provide readers with at least
the basic information needed on all relevant topics, as well as references to
additional sources of information. In recent years, many books on cloud
computing and big data security and privacy have been published, each
focusing on a specifc topic. The editors are confdent that this book will
provide vital information to readers.
Editors
Dr. Muhammad Imran Tariq is working at Higher Education Department,
Lahore, Pakistan, where he has been since 2006. He earned a Bachelor
of Computer Science from Allama Iqbal University, Islamabad in 2003,
M.Sc Computer Science from Preston Institute of Management Science
and Technology in 2008, Master of Science in Computer Science from
the University of Lahore in 2013, and fnally Ph.D. in Computer Science
from Superior College, Lahore in 2019. Moreover, he has MCSE, MCP+I,
A+, and CCNA certifcations. His research interests include Cloud
Computing, Information Security standards, Service Level Agreement,
Information Security Metrics, Cloud Risks and mitigation techniques,
Wireless Network Security, Image Processing, Deep Learning, Artifcial
Intelligence, Sensor Networks, Multicriteria Decision Making, Fuzzy
Logic, and Risk Management. Dr. Tariq is the author of many impact
factor research papers and conference papers. He is also the author of two
books on Cloud Security. He is a reviewer of internationally renowned
impact factor journals and the Associate Editor of IEEE Access journal
and a member of the editorial board of SCIREA Journal of Computer.
He is also a member of the research group of Cloud Security Alliance.
Prof. Dr. Engr. Valentina Emilia Balas is currently a Full Professor in the
Department of Automatics and Applied Software at the Faculty of
Engineering, of Aurel Vlaicu University of Arad, Romania. She earned a
Ph.D. in Applied Electronics and Telecommunications from the Polytechnic
University of Timisoara. Dr. Balas is the author of more than 300 research
papers in refereed journals and international conferences. Her research
interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart
Sensors, Information Fusion, Modeling, and Simulation. She is a mem-
ber of EUSFLAT, SIAM, and a Senior Member IEEE, a member of TC—
Fuzzy Systems (IEEE CIS), TC—Emergent Technologies (IEEE CIS), and
TC—Soft Computing (IEEE SMCS). She is the Editor-in-Chief of the
International Journal of Advanced Intelligence Paradigms (IJAIP) and
International Journal of Computational Systems Engineering (IJCSysE),
an Editorial Board member of several national and international journals.
ix
