Identification and Mitigation of Fraudulent Online Transactions Using Authentication and Fraud Detection System [electronic resource] / by Vipin Khattri, Sandeep Kumar Nayak, Deepak Kumar Singh, Vikrant Bhateja.

Por: Khattri, Vipin [author.]Colaborador(es): Kumar Nayak, Sandeep [author.] | Kumar Singh, Deepak [author.] | Bhateja, Vikrant [author.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Studies in Smart TechnologiesEditor: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XXVIII, 157 p. 60 illus., 59 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819748884Tema(s): Computational intelligence | Artificial intelligence | Data protection | Computational Intelligence | Artificial Intelligence | Data and Information SecurityFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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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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.

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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