Identification and Mitigation of Fraudulent Online Transactions Using Authentication and Fraud Detection System

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.
 

List of contents

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.

Product details

• Authors: Vikrant Bhateja, Vipin Khattri, Sandeep Kumar Nayak, D Kumar Singh, Deepak Kumar Singh
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 01.11.2024
• EAN: 9789819748877
• ISBN: 978-981-9748-87-7
• No. of pages: 157
• Dimensions: 155 mm x 12 mm x 235 mm
• Weight: 431 g
• Illustrations: XXVIII, 157 p. 60 illus., 59 illus. in color.
• Series: Studies in Smart Technologies
• Subject: Natural sciences, medicine, IT, technology > Technology > General, dictionaries