Table Of Content

Security 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 computing 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 computing 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 computing and big data, what are the key security requirements, aspects to ensure high security to applications, and data processing. Big data and cloud computing are integrated in practice. Cloud computing offers massive storage, high computation power, and distributed capability for the support of processing 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 working 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 security 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 member 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