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The book explores comprehensive demonstration of the performance analytics following the implementation of the authentication and fraud detection system strategies. These evaluations are based on different performance metrics such as accuracy, true positive rate, true negative rate, precision, g-mean, f1-score and receiver operating characteristic curve. This book highlights effectiveness of the implemented authentication and fraud detection system based on their performance statistics. Additionally, it explores the limitations and social impact of the developed online transaction system, offering insights into potential areas for future research.…mehr
The book explores comprehensive demonstration of the performance analytics following the implementation of the authentication and fraud detection system strategies. These evaluations are based on different performance metrics such as accuracy, true positive rate, true negative rate, precision, g-mean, f1-score and receiver operating characteristic curve. This book highlights effectiveness of the implemented authentication and fraud detection system based on their performance statistics. Additionally, it explores the limitations and social impact of the developed online transaction system, offering insights into potential areas for future research.
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Autorenporträt
Vipin Khattri is an Associate Professor at College of Computing Sciences and Information Technology, Teerthanker Mahaveer University, Moradabad. He completed his doctorate in Computer Application from Integral University, Lucknow. He was awarded with "Best Faculty" in teaching and "Best Paper" in research. He has also severed as a coordinator of academic cell in Shri Ramswaroop Memorial University, Lucknow. He has three years of Industry and 18 years of academic teaching experience. He published several book chapters, researcher papers in international conference proceedings and reputed international journals (Scopus and SCIE). He was awarded with two International patents, two Indian patents, and published two Indian patents. His research area includes Artificial Intelligence, Machine Learning, Deep Learning, Cyber and Information Security.
Sandeep Kumar Nayak is rendering his services as an Associate Professor in the Department of Information Technology, Babasaheb Bhimrao Ambedkar University (A Central University of India). He has also served as a Professor in an Institution, Integral University, having A+ Grade by NAAC. He supervised five Research Scholars for awarding their Doctoral Degree and continuing the same for another scholars in various streams such as Software Engineering, Big Data Analytics, Machine Learning, Cyber Security and allied domains. He attained two International Patents, more than twenty eight research papers in Journal of repute, three books and more than twelve book chapters. He organized various International and National Conferences, Seminars, Workshops and Faculty Development Programme and many more. He chaired various sessions in International and National Conferences and Seminars. He delivered more than forty Invited Talks and Expert Lectures in variousUniversities and Institutions.
Deepak Kumar Singh has completed his doctorate from Indian Institute of Technology, Kanpur and currently working as a faculty member at Indian Institute of Information Technology, Lucknow (an institute of national importance). He has over twelve years' experience in the field of academics and IT industry. His core areas of expertise include real-life applications of artificial intelligence and IoT. He has published more than twenty papers in international journals and conferences. He has played a key role in several AI based R&D projects, which include Digital Transformation of several institutes and industries, two projects funded by Government of India and several other projects related to AI-ML implementation. He has imparted training to several senior level executives of IT companies in different parts of world including Singapore, Japan and China. He has advised Govt. Of UP on digital transformation of public libraries and is currently working with UP government on a World Bank funded project. He holds professional associations with associations like IEEE Technical Committee, IEEE Young Professionals etc and has won several awards including best faculty award.
Vikrant Bhateja is associate professor in Department of Electronics Engineering, Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India. He holds a doctorate in ECE with a total academic teaching experience of 20 years with around 190 publications in reputed international conferences, journals and online book chapter contributions; out of which 39 papers are published in SCIE indexed high impact factored journals. Among the international conference publications, four papers have received "Best Paper Award''. He has been instrumental in chairing/co-chairing around 30 international conferences in India and abroad as Publication/TPC chair and edited 52 book volumes from Springer-Nature as a corresponding/co-editor/author on date. He has delivered nearly 22 keynotes, invited talks in international conferences, ATAL, TEQIP and other AICTE sponsored FDPs and STTPs. He has been Editor-in-Chief of IGI Global-- International Journal of Natural Computing and Research (IJNCR) an ACM & DBLP indexed journal from 2017-22. He has guest edited Special Issues in reputed SCIE indexed journals under Springer-Nature and Elsevier. He is Senior Member of IEEE and Life Member of CSI.
Inhaltsangabe
Chapter-1: Introduction.- Chapter-2: Online Payment Transaction System.- Chapter-3: Online Payment Transaction Fraud.- Chapter-4: Design Framework for Online Payment Transaction Fraud Detection.- Chapter-5 Design and Implementation of Three-Defense Wall Authentication Framework.- Chapter-6 Design and Implementation of Fraud Detection-Decision Support System Framework.- Chapter-7 Design and Implementation of Deep Autoencoder Fraud Detection Model .- Chapter-8 Performance Analytics of Online payment Fraud Detection Framework.-Chapter-9 Conclusions .- Chapter-10 Future Directions .- Appendices.
