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Comparative analysis of Direct and Indirect Model Reference Adaptive Control by Extended Kalman Filter
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Integrated Renewable Energy Management System for Reduced Hydrogen Consumption using Fuel Cell
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Wireless Power Transfer Device Based on RF Energy Circuit and Transformer Coupling Procedure
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Artificial Intelligence based Business Process Automation for Enhanced Knowledge Management
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Unmanned Aerial Vehicle with Thermal Imaging for Automating Water Status in Vineyard
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Design of Effective Smart Communication System for Impaired People
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Automated Multimodal Fusion Technique for the Classification of Human Brain on Alzheimer’s Disorder
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Prediction of Energy Consumption by Ships at the port using Deep Learning
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A Novel Adaptive Fuzzy MPPT Algorithm under Changing Atmospheric Conditions
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Power Transfer Capability Recognition in Deregulated System under Line Outage Condition Using Power World Simulator
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Transformer Oil Diagnostic Tests Analysis using Statistical Correlation Technique
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Design of Inverter Voltage Mode Controller by Backstepping Technique for Nonlinear Power System Model
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Automated Multimodal Fusion Technique for the Classification of Human Brain on Alzheimer’s Disorder
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Performance Analysis of Multiple Pico Hydro Power Generation
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Energy Efficient Data Mining Approach for Estimating the Diabetes
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Wireless Power Transfer Device Based on RF Energy Circuit and Transformer Coupling Procedure
Volume-3 | Issue-3

Prediction of Energy Consumption by Ships at the port using Deep Learning
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A Novel Adaptive Fuzzy MPPT Algorithm under Changing Atmospheric Conditions
Volume-3 | Issue-4

Unmanned Aerial Vehicle with Thermal Imaging for Automating Water Status in Vineyard
Volume-3 | Issue-2

Home / Archives / Volume-3 / Issue-1 / Article-1

Volume - 3 | Issue - 1 | march 2021

A Survey on Digital Fraud Risk Control Management by Automatic Case Management System
Pages: 1-14
Published
10 May, 2021
Abstract

In this digital era, a huge amount of money had been laundered via digital frauds, which mainly occur in the timeframe of electronic payment transaction made by first-time credit/debit card users. Currently, Finance organizations are facing several fraud attempts and it likely happens due to the current infrastructure, which only has an older database.. The current infrastructure diminishes the working environment of any finance organization sector with frequent fraud attempts. In this perspective, the roposed research article provides an overview for the development of an automated prevention system for any finance organization to protect it from any fraudulent attacks. The proposed automated case management system is used to monitor the expenses of the behavior study of users by avoiding the undesirable contact. The proposed research work develops a new management procedure to prevent the occurrence of electronic fraud in any finance organization. The existing procedure can predict digital fraud with an old updated database. This creates disaster and destructive analysis of the finance segment in their procedure. The cyber fraud phenomenon prediction is used to predict the fraud attempt with content-based analysis. The lack of resources is one of the enormous challenges in the digital fraud identification domain. The proposed scheme addresses to integrate all safety techniques to safeguard the stakeholders and finance institutions from cyber-attacks.

Keywords

Digital fraud risk control management

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