A hybrid model for plastic card fraud detection systems

2010 ◽  
Vol 37 (8) ◽  
pp. 6070-6076 ◽  
Author(s):  
M. Krivko
Keyword(s):  
Hybrid Model ◽  
Fraud Detection ◽  
Detection Systems ◽  
Plastic Card

A Hybrid Model for Fraud Detection on Purchase Orders

2019 ◽  
pp. 110-120
Author(s):  
William Ferreira Moreno Oliverio ◽  
Allan Barcelos Silva ◽  
Sandro José Rigo ◽  
Rodolpho Lopes Bezerra da Costa
Keyword(s):  
Hybrid Model ◽  
Fraud Detection

scholarly journals INTERNATIONAL CONFERENCE ON SPECTACULAR PROGRESSIVE IMPROVEMENTS IN ENGINEERING SCIENCES & COMPUTING (ICSPEC 2021)INTERNATIONAL CONFERENCE ON SPECTACULAR PROGRESSIVE IMPROVEMENTS IN ENGINEERING SCIENCES & COMPUTING (ICSPEC 2021)

2021 ◽  
Author(s):  
Dr. Sharath Chandra I ◽  
Dr. Srikanth N ◽  
Dr. Senthil Kumar S k ◽  
Dr. Venkatessulu S ◽  
Dr. Anjaiah A ◽  
...  
Keyword(s):  
Credit Card ◽  
Fraud Detection ◽  
Credit Card Fraud ◽  
International Conference ◽  
Detection Systems ◽  
Online Purchases ◽  
Engineering Sciences ◽  
Business Establishment ◽  
Substantial Rise

The exceptional growth in the number of credit card transactions, especially for online purchases, has recently led to a substantial rise in fraudulent activities. Credit card security is a major concern for any business establishment. With that in mind, it is hard to identify the credit card fraud. Implementation of efficient fraud detection systems has thus become imperative for all credit card issuing banks to minimize their losses.

Parameters of automated fraud detection techniques during online transactions

2018 ◽  
Vol 25 (3) ◽  
pp. 702-720 ◽  
Author(s):  
Vipin Khattri ◽  
Deepak Kumar Singh
Keyword(s):  
Detection System ◽  
Fraud Detection ◽  
Security System ◽  
Research Papers ◽  
Content Type ◽  
Detection Techniques ◽  
Online Transactions ◽  
Detection Systems ◽  
Different Types ◽  
Depth Study

Purpose This paper aims to provide information of parameters and techniques used in the automated fraud detection system during online transaction. With the increase in the use of online transactions, the concerns regarding data security have also increased. To tackle the frauds, lot of research has been done and plethora of papers are available on the related topics. The purpose of this paper is to provide the clear pathway for researchers to move in the direction of development of automated fraud detection system to prevent the fraud during online transaction. Design/methodology/approach This literature review analyses and compares the different types of techniques for detecting fraud during online transaction. An in-depth study of the most prominent journals has been done and the core methodology of the papers has been presented. This article also shed some light on different types of parameters used in fraud detection techniques during online transaction. Findings There are vast varieties of various fraud detection techniques, and every technique has completed task in its own way. After studying approximately 41 research papers, 14 books and four reports, in total 30 parameters have been identified and a detailed study of the parameters has been presented. The parameters are also listed with their details that how these parameters are used in the security system for detecting online transaction fraud. Research limitations/implications This paper provides empirical insight about the parameters and their prominence in the development of automated fraud detection security system of online transaction. This paper encourages the researchers to development of improved fraud detection system. Practical implications This paper will pave the way for researchers to do a focused research on the fraud detection methodologies. The analysis will help in zeroing down the most prevalent topic of research in this field. The researchers will be able to understand the internal details of parameters and techniques used in the fraud detection systems. This literature also helps the research to think in a variety of ways that how these parameters will be used in the development of fraud detection system. Originality/value This paper is one of the most comprehensive reviews in its field. It tries and attempts to fill a void created because of lack of compilation of the laid fraud detection parameters.

The Evolution of Fraud Intelligence

2011 ◽  
pp. 261-283
Author(s):  
David Porter
Keyword(s):  
Financial Institutions ◽  
Financial Services ◽  
Information Assurance ◽  
Fraud Detection ◽  
High Quality ◽  
Services Sector ◽  
Detection Systems ◽  
Financial Services Sector

This chapter discusses the latest innovations in fraud detection, with a particular focus on insider fraud and organized fraud. It argues that as fraud continues to grow at an alarming rate across the financial services sector, the constant evolution in fraudster behavior means that financial institutions need to keep their technology-based countermeasures constantly updated, particularly given the increasing involvement of serious organized criminals. In addition to upgrading their current operational detection systems, this chapter aims to encourage organizations to improve current levels of data and information assurance in order to ensure the generation of high quality intelligence on the enemy, and to adopt a structured framework for better understanding and describing exactly what we mean by “intelligence.”

Plastic card fraud detection using peer group analysis

2008 ◽  
Vol 2 (1) ◽  
pp. 45-62 ◽  
Author(s):  
David J. Weston ◽  
David J. Hand ◽  
Niall M. Adams ◽  
Christopher Whitrow ◽  
Piotr Juszczak
Keyword(s):  
Peer Group ◽  
Group Analysis ◽  
Fraud Detection ◽  
Plastic Card

The Development of Fraud Detection Systems for Detection of Potentially Fraudulent Applications

2015 ◽  
Author(s):  
Dhiya Al-Jumeily ◽  
Abir Hussain ◽  
Aine MacDermott ◽  
Hissam Tawfik ◽  
Gemma Seeckts ◽  
...  
Keyword(s):  
Fraud Detection ◽  
Detection Systems
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