Welcome to the world of practical applications in data security, algorithms, and modelling. In this book, we embark on a journey through the dynamic landscape of securing ecommerce data, exploring the intricate web of algorithms, and unleashing the power of ML modelling techniques. Whether you're an aspiring data scientist, a seasoned professional, or simply someone fascinated by the potential of data-driven insights, this book aims to be your comprehensive guide. From the fundamental principles to real-world applications, join us as we delve into the realm where data transforms into actionable knowledge, algorithms navigate complex information, and modelling becomes a strategic tool for decision-making.

The objective of " Strategic Innovations of AI and ML for E-Commerce Data Security" is to bridge the gap between theoretical understanding and practical implementation in the ecommerce data security. This book aims to achieve several key objectives: It seeks to provide readers with a comprehensive understanding of data processing techniques, algorithms, and modelling methods. The goal is to elucidate complex concepts in a clear, practical manner. Real-World Application: Focusing on real-world applications, the book aims to equip readers with the tools and knowledge needed to apply data processing, algorithms, and modelling techniques effectively across various ecommerce industries and domains. By highlighting the latest advancements and innovative approaches, this book contributes to the ongoing discourse in the field. It explores cutting-edge research and emerging trends, fostering a deeper understanding of how these technologies can be leveraged to solve complex problems. The book serves as a practical guide, providing hands-on examples, case studies, and problem-solving scenarios. It aims to empower readers to confidently navigate through data challenges and make informed decisions using data-driven insights. As an educational resource, it caters to students, researchers, professionals, and anyone interested in gaining proficiency in data processing, algorithms, and modeling. It serves as a reference material, supporting academic learning and professional development. This book aspires to contribute to the advancement of the field by merging theoretical knowledge with practical applications, enabling readers to not only understand the concepts but also apply them innovatively to solve real-world problems.

The target audience for " Strategic Innovations of AI and ML for E-Commerce Data Security" encompasses a diverse range of individuals interested in leveraging data science methodologies. Specifically, the book is tailored for cyber experts and Professionals seeking to deepen their understanding of ecommerce data security, algorithms, and modeling techniques. This includes individuals already working in the field looking to enhance their skill set or stay updated with the latest advancements. Undergraduate and graduate students studying data security, computer science, or related fields. The book serves as an educational resource providing foundational knowledge and practical insights to security algorithms. Those involved in research and academia, including professors, researchers, and scholars, benefit from the book's exploration of current research trends, methodologies, and case studies, allowing them to stay informed about the latest advancements. Professionals in industries such as ecommerce website, retail store management, industrial resource management, and more can benefit from understanding how data security algorithms, and modelling can be applied to solve industry-specific security challenges and drive innovation. Individuals with a general interest in data security who are looking to start their journey or gain a foundational understanding of data will find this book accessible and informative. In essence, the book caters to a wide audience, providing a blend of foundational knowledge, practical applications, and advanced concepts. Whether an expert seeking to deepen expertise or a novice looking for an entry point into the field, this book aims to offer valuable insights and applicable knowledge across various skill levels and professional backgrounds.

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Editor/Author Biographies

Dr. Gaganpreet Kaur has obtained Ph.D (CSE), I.K. Gujral Punjab Technical University, Jalandhar in year 2018, M.Tech (CSE), I.K. Gujral Punjab Technical University, Jalandhar in year 2010 and B.Tech (CSE), Kurukshetra University in year 2005. She is currently working as Associate professor in Chitkara University, Punjab. She has served in Sri Guru Granth Sahib World University as Regular faculty for 11 years. Before that she has also served in Rayat Institute of Engineering and Information Technology, Railmajra as Deputy HOD (IT) and Haryana Engineering College, Jagadhri. She has published more than 100 research articles in various peer reviewed, SCI, Scopus Journals, International and National Conferences in the field of computer science. She has published 20+ Indian patents. She has guided a Ph.D scholar and 35+ students have completed M.Tech thesis under her guidance. Her research interest includes biometrics, image processing, AI, ML, forensic science. She has published a book and attended various workshops and FDP’s. She has been member of academic council in SGGSWU. She has been Coordinator and Department Incharge for Research Committee of CSE Deptt, SGGSWU, Fatehgarh Sahib. She has worked in various capacity like Extra-Curricular Activity Incharge of CSE Department, SGGSWU, Fatehgarh Sahib, From 2013-2018, Member of anti-ragging squad (2013-2014), SGGSWU, Fatehgarh Sahib., ERP Coordinator of SGGSWU, Fatehgarh Sahib, Coordinator of Programme and Course Review Committee for Department for the session 2020-21 and 2021-22, Coordinator for NIRF data for Department session 2021-22 and Coordinator Shodhganga & Inflibnet for year 2021. She has delivered Expert lecture in Computer Technology Training Course at SGGSWU, Fatehgarh Sahib from 23 April to 4th May 2018. She has been Coordinator for organizing various expert lectures. She has been Programmme Coordinator for NSS for 10 years. She attended Refresher course in Research Methodology and Data Analysis at HRDC, Punjabi University, Patiala and attended one month Orientation Programme at Punjab University. She also Organized Special Session on Computational Intelligence in Network Security as TPC member in 15th INDIACom 2021; 8th International Conference on “Computing for Sustainable Global Development” organized by BVICAM ,New Delhi. She is Reviewer of SCNS Journal. She is a life time member of Indian Society of Technical Education (ISTE).She is working as Editor and Associate Editor of SCI/ SCIE/ SSCI indexed journals.

Dr Jatin Arora is a PhD in Computer Science and Engineering from Chitkara University, Punjab, India, having more that 10 years of Teaching Experience. He is an Assistant Professor in the Department of Computer Science and Engineering at Chitkara University, India. His areas of expertise are Application of Machine Learning and Deep Learning, IoT security, Network Security, Key Management. He has published more than 20 research papers in esteemed journals and conferences. He has guided many UG research scholars in the area of conceptual data modeling, database design and management, cryptography, digital signature, XML Schema management, and secret key management. He has filed 17 patents. He is the reviewer of many reputed international journals; the list includes the IEEE Transactions, International Journal of Intelligent and fuzzy system and many more. He is also Red Hat Certified Engineer, Microsoft Certified professional, Wipro certified, and IBM certified professional.

Vishal Jain is presently working as an Associate Professor at Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, U. P. India. Before that, he has worked for several years as an Associate Professor at Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi. He has more than 14 years of experience in the academics. He obtained Ph.D (CSE), M.Tech (CSE), MBA (HR), MCA, MCP and CCNA. He has authored more than 90 research papers in reputed conferences and journals, including Web of Science and Scopus. He has authored and edited more than 30 books with various reputed publishers, including Elsevier, Springer, Apple Academic Press, CRC, Taylor and Francis Group, Scrivener, Wiley, Emerald, NOVA Science and IGI-Global. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, and sensor networks. He received a Young Active Member Award for the year 2012–13 from the Computer Society of India, Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi.

Dr Asadullah Shaikh received a B.Sc. degree in software development from the University of Huddersfield, England; an M.Sc. degree in software engineering and management from Goteborg University, Sweden; and a PhD degree in software engineering from the University of Southern Denmark. He is currently a professor, the head of research and graduate studies, and the coordinator of seminars and training with the College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia. He has over 150 publications in software engineering, health informatics, cloud computing, and machine learning in international journals and conferences. He has vast experience in teaching and research. His current research interests include, but are not limited to, software engineering, health informatics, artificial intelligence using machine learning, cloud computing, e-learning, and mobile technologies. He has worked as a researcher at U.O.C. Barcelona, Spain. He is also the Editor of the International Journal of Advanced Computer Systems and Software Engineering (IJACSSE) and on the International Advisory Board of several conferences and journals.

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