Security and Risk Analysis for Intelligent Cloud Computing: Methods, Applications, and Preventions

This edited book is a compilation of scholarly articles on the latest developments in the field of AI, Blockchain, and ML/DL in cloud security. This book is designed for security and risk assessment professionals, and to help undergraduate, postgraduate students, research scholars, academicians, and technology professionals who are interested in learning practical approaches to cloud security. It covers practical strategies for assessing the security and privacy of cloud infrastructure and applications and shows how to make cloud infrastructure secure to combat threats and attacks, and prevent data breaches. The chapters are designed with a granular framework, starting with the security concepts, followed by hands-on assessment techniques based on real-world studies. Readers will gain detailed information on cloud computing security that—until now—has been difficult to access. This book: • Covers topics such as AI, Blockchain, and ML/DL in cloud security. • Presents several case studies revealing how threat actors abuse and exploit cloud environments to spread threats. • Explains the privacy aspects you need to consider in the cloud, including how they compare with aspects considered in traditional computing models. • Examines security delivered as a service—a different facet of cloud security.

Table of Contents:
1. Navigating the Landscape of Security Threat Analysis in Cloud Computing Environments, 2. Security Aspects of Cloud, Fog, and Edge Computing, 3. Security Aspects in Cloud Computing, 4. Cloud Storage Security Using Blockchain, 5. Machine Learning and Deep Learning Models for Data Privacy and Security, 6. Cyber Physical System and Enabling Technologies: Opportunity, Challenges, and Applications, 7. Unveiling the Impact of Blockchain and Cryptocurrency on the Indian Economy: Exploring Modern Transaction Methods, 8. Analysis of Covid-19 Second Wave in India and Prediction Using Machine Learning Models, 9. Prediction of Chronic Kidney Disease Using BIRCH Algorithm in Machine Learning, 10. Machine Learning Based Prediction of Social Media Performance Metrics Using Facebook Data, 11. How Does Clustering Help Us with Better Understanding in Social Text Streams?: Data Clustering and Classification with ML and DL, 12. AI/ML Revolutionizing Social Media and Business: A Comprehensive Study, 13. Remote Sensing And Machine Learning, 14. Revolutionizing Sales And Marketing: The Power Of AI in Action, 15. A Novel Framework for Stock Market Prediction Using Deep Learning Techniques

About the Author :
Dr. Ajay is currently serving as a Professor in Department of Mechanical Engineering in School of Engineering and Technology, JECRC University, Jaipur, Rajasthan, India. He received his Ph.D. in the field of Advanced Manufacturing from Guru Jambheshwar University of Science & Technology, Hisar, India after B.Tech. (Hons.) in mechanical engineering and M.Tech. (Distinction) in manufacturing and automation. His areas of research include Incremental Sheet Forming, Artificial Intelligence, Sustainable Materials, Additive Manufacturing, Mechatronics, Smart Manufacturing, Industry 4.0, Industrial Engineering Systems, Waste Management, and Optimization Techniques. He has over 80 publications in international journals of repute including SCOPUS, Web of Science and SCI indexed database and refereed international conferences. He has also co-authored and co-edited many books and proceedings including: ● Authored Book, Ajay Kumar, Ravi Kant Mittal, Incremental Sheet Forming Technologies: Principles, merits, limitations, and applications, CRC Press, Taylor and Francis, ISBN 9780367276744 https://www.routledge.com/Incremental-Sheet-Forming-Technologies-Principles-Merits-Limitations/jay-Mittal/p/book/9780367276744# ● Edited book, Ajay Kumar, R. K. Mittal, Abid Haleem (2023), Advancements in Additive Manufacturing: Artificial Intelligence, Nature Inspired and Bio-manufacturing, ISBN: 9780323918343, ELSEVIER, https://shop.elsevier.com/books/advances-in-additive-manufacturing/kumar/978-0-323-91834-3 ● Managing Guest Lead Editor, SI: Intelligent Design and Sustainable Manufacturing from Industry 4.0 Perspectives and Beyond, International Journal on Interactive Design and Manufacturing (IJIDeM), SPRINGER, Indexed in SCOPUS and WOS, Impact Factor 2.2, https://www.springer.com/journal/12008/updates/24099542 ● Managing Guest Editor of Journal Proceedings, Ajay Kumar, Journal of Physics: Conference Series, Volume 1950, International Conference on Mechatronics and Artificial Intelligence (ICMAI) 2021 27 February 2021, Gurgaon, India, https://iopscience.iop.org/issue/1742-6596/1950/1 ● Edited book, Ajay, Parveen, Sharif Ahmad, Jyotsna Sharma, Victor Gambhir, Handbook of Sustainable Materials: Modelling, Characterization, and Optimization, CRC Press, Taylor and Francis, ISBN: 978-1-032-28632-7, https://www.routledge.com/Handbook-of-Sustainable-Materials-Modelling-Characterization-and-Optimization/Ajay-Parveen-Ahmad-Sharma-Gambhir/p/book/9781032286327 ● Edited book, Ajay, Parveen, Ravi Kant Mittal, Rajesh Goel (2022), Book title: Waste Recovery and Management: An Approach Towards Sustainable Development Goals, CRC Press, Taylor and Francis, ISBN: 9781032281933 https://www.taylorfrancis.com/books/edit/10.1201/9781003359784/waste-recovery-management-ajay-kumar-ashwini-kumar-parveen-rathee-rajesh-goel-ravi-kant-mittal ● Edited book, Ajay, Parveen, Bandar AlMangour, Hari Singh (2023), Smart Manufacturing: Forecasting the future of Industry 4.0, CRC Press, Taylor and Francis, ISBN: 9781032363431 https://www.routledge.com/Handbook-of-Smart-Manufacturing-Forecasting-the-Future-of-Industry-40/jay-Singh-Parveen-AlMangour/p/book/9781032363431 ● Edited book, Handbook of Flexible and Smart Sheet Forming Techniques: Industry 4.0 Perspectives, ISBN: 9781119986409, WILEY. https://www.amazon.ca/Handbook-Flexible-Smart-Forming-Techniques/dp/1119986400 ● Edited book, Advances in Sustainable Materials: Fundamentals, Modelling and Characterization, ISBN: 9780443138492, ELSEVIER, (in-production) - Edited. ● Edited book, Modeling, Characterization, and Processing of Smart Materials, IGI Global, and ISBN: 9781668492246. DOI: 10.4018/978-1-6684-9224-6 https://www.igi-global.com/book/modeling-characterization-processing-smart-materials/318402 He has organized various national and international events including an international conference on Mechatronics and Artificial Intelligence (ICMAI-2021) as conference chair. He is currently organising international conference on Artificial Intelligence, Advanced Materials, and Mechatronics Systems (AIAMMS-2023) as conference chair. He has more than 20 national and international patents to his credit. He has supervised more than 8 M.Tech, Ph.D scholars and numerous undergraduate projects/ thesis. He has a total of 15 years of experience in teaching and research. He is Guest Editors and Review Editor of the reputed journals including Frontiers in Sustainability. He has contributed to many international conferences/ symposiums as a session chair, expert speaker, and member of the editorial board. He has won several proficiency awards during the course of his career, including merit awards, best teacher awards, and so on. He is adviser of QCFI, Delhi Chapter student cell at JECRC University and has also authored many in-house course notes, lab manuals, monographs and invited chapters in books. He has organized a series of Faculty Development Programs, International Conferences, workshops, and seminars for researchers, PhD, UG and PG level students. He is associated with many research, academic, and professional societies in various capacities. ORCID ID: https://orcid.org/0000-0001-7306-1902 https://scholar.google.co.in/citations?user=TmZS4JIAAAAJ&hl=en https://www.webofscience.com/wos/author/record/D-5813-2019 Publons Profile: https://publons.com/researcher/1596469/ajay-kumar/ Research Gate: https://www.researchgate.net/profile/Ajay_Kumar349 ResearcherID: D-5813-2019 http://www.researcherid.com/rid/D-5813-2019 Ms. Sangeeta is currently serving as an Assistant Professor in department of Computer Science & Engineering, World College of Technology and Management, Gurgaon, Haryana, India. She is pursuing her Ph.D. from Amity University, Manesar, Gurugram. She completed her M.Tech. from Maharshi Dayanand University, Rohtak, India. Her areas of research include Cloud Computing, Machine Learning. She has over 15 research publications in international journals of repute and refereed international conferences and co-authored more than 5 book chapters in books. She guided several M.Tech. scholars. She has a total of 9 years of experience in teaching. She has won the best paper awards in various international conferences. She has also organized a series of Faculty Development Programmes, workshops, and seminars for UG and PG level students. She teaches the following courses at the graduate and postgraduate level: Analysis and Design of Algorithms, Cloud Computing, Theory of Computation, Compiler Design, Programming in Python, Machine Learning etc. Ms. Sarita completed her B.Tech (Hons.) in Electrical and Electronics Engineering and M.Tech in Electrical & Electronics Engineering from Maharshi Dayanand University, NAAC ‘A’ Grade State Govt. University, Rohtak, Haryana, India. She is pursuing her Ph.D. from JECRC University, Jaipur, India on Smart security systems and control panels. She started her career as a Project Scheduler in Sage Metals Ltd., India and with continues growth in Industrial carrier and worked for 8 years in different vertical of quality and environmental function and now working as Project Manager, control systems and panels in Sage Metals Ltd., India and responsible for task management, reporting to stakeholder, overseeing budgets and schedules. She also worked in business excellence for a year and worked on a project of Business excellence sustainability task (BEST), where the integration of all control system and panels has been done (QMS + EMS + OHSAS+ Social Accountability). The project has been awarded for Siemens Excellence Award. Her are of interest are cyber data security, virtual and augmented reality, industrial internet of things, PLC and SCADA. She has more than 5 national and international patents in her credit. She had delivered many workshops in different aspects of smart learning, cyber security of control panels, smart instrumentation and manufacturing techniques under Govt. of India. Dr. Surbhi Bhatia is doctorate in Computer Science and Engineering from Banasthali University, 2018 in the area of machine learning and social media analytics. She earned Project management Professional Certification from reputed Project Management Institute, USA. She is currently an Assistant Professor in Department of Information Systems, College of Computer Sciences and Information Technology, King Faisal University, Saudi Arabia. She has more than 10 years of teaching experience in different universities from India and Saudi Arabia. She is also working as a consultant in the Research Lab, India. She is the Editorial board member with Inderscience Publishers in the International Journal of Hybrid Intelligence and in SN Applied Sciences, Springer. She has published 12 national and international patents from India, Australia and the US. She has published many papers in reputed journals and conferences in high indexing databases (SCI, SCIE, Scopus, Web of Science, ESCI). She is currently serving as a guest editor of special issues in reputed journals of Springer (SN Applied Sciences, Indexing ESCI, Springer), Computer, Materials and Continua (Indexing SCI, Scopus), Internet of Things (Indexing: SCIE, Elsevier), Hindawi, bentham Science and in many international conferences (indexing: Springer, IEEE, IOP) . She has delivered talks as keynote speaker in IEEE conferences and in faculty development programs. She has conducted workshops in AICTE programmers and chaired technical sessions in many conferences. She has successfully authored 2 books from Springer and Wiley. She has also edited 8 books from IGI Global, Wiley, CRC Press, Elsevier and Springer. She has been selected in the prestigious “Best Young National Award” by IRDP group of Journals in India. She has many projects approved by the Ministry of Education, Saudi Arabia and Deanship of Scientific Research in Saudi Arabia and from SEED, DST, India. Her area of interest is Data Mining, Machine Learning, Sentiment Analysis, Natural language Processing and Data Analytics.