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DEEP LEARNING: AN AUTOMATED IMBALANCED CLOUD BASED FRAUD DETECTION MODEL - Couverture souple

Prasanthi, Gottumukkala; Sridhar Babu, N.; Vinod Babu, Polinati

 
9786206788591: DEEP LEARNING: AN AUTOMATED IMBALANCED CLOUD BASED FRAUD DETECTION MODEL
Couverture souple
ISBN 10 : 6206788598 ISBN 13 : 9786206788591
Editeur : LAP LAMBERT Academic Publishing, 2023

Synopsis

Research focuses on designing and implementing a cloud-based security system utilizing deep and machine learning optimization techniques. The system employs multiple real-time monitoring parameters and achieves high precision, a critical requirement in cloud computing design. Fraudsters often target cloud-based e-commerce and trade websites, making it essential to develop an accurate fraud detection system. Introduces deep learning mechanisms such as Fully Convolutional Neural Networks (FCNN), Convolutional Neural Networks (CNN), and machine learning methods like Support Vector Machine (SVM), Fuzzy logic, and Logistic Regression (LR). The advanced FCNN-GBML (Global Binary Multiclass Learning) methods effectively address the limitations of existing approaches, improving accuracy, decision rates, and reducing false alarm rates in the detection of cloud-based frauds.

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2023
Langue
anglais
ISBN 10 
6206788598
ISBN 13 
9786206788591
Reliure
Broché
Nombre de pages
196
Coordonnées du fabricant
non disponible
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