Strategic Innovations of AI and ML for E-Commerce Data Security explores practical applications in data security, algorithms, and modelling. It examines solutions for securing e-commerce data, utilizing AI and machine learning for modelling techniques, and navigating complex algorithms. This book covers topics such as data science, threat detection, and cybersecurity, and is a useful resource for computer engineers, data scientists, business owners, academicians, scientists, and researchers.
|Jatin Arora - Editor|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.
|Asadullah Shaikh - Editor|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. [Editor]