Fraud Pattern Recognition In Banking Sector Using Graph Database

Sen, Sonali; Mukherjee, Trishita; Pal, Sunanda; Ghosh, Sumana

doi:10.26438/ijcse/v6i6.13941398

Cited by 1 publication

(3 citation statements)

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“…Sonali, Rishita, Sunanada, Sumana [1] described the fraud method recognition to prevent illegitimate transaction by using graph database. In this paper, bust-out fraud and credit-card fraud are discussed.…”

Section: Intelligent Hybrid Fraud Detection Using Biometric and Face Recognitionmentioning

confidence: 99%

“…Now a days fraudsters become a challenge for banking Sectors because they are doing illegitimate transactions [1] by stealing the account information of any person and use them for their own purposes. The popularity of banking systems are increasing day by day because people are using banking systems for money transaction, use it for shopping, pay bills and for online transaction in everywhere with in small time period [2].…”

Section: Introductionmentioning

confidence: 99%

“…Fraud can also be done by phishing or by skimming user's data from merchant's side [4]. Fraudsters steal the login information like username and password of any person for online banking and steal credit card detail and pin code for credit card fraudulent transaction [1]. Most commonly used two methods are online banking or ebanking and credit card transactions.…”

Section: Introductionmentioning

confidence: 99%

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Intelligent Hybrid Fraud Detection Using Biometric and Face Recognition

2021

IJATCSE

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Financial transaction is backbone of global market that make it convenient for people to make their transaction easy. People do transaction of money from everywhere using banking system through e-banking or credit card system. That is why banking sectors play a vital role in any country and provide proper structure to any country and make their economy better. However there are many fraudulent who steal the information of any person's account, use the in information for their own purposes and do illegitimate transaction. Fraudster continuously try to get user's account information by applying different tricks to commit fraud that cost huge lose to banking system as well as consumers that's why fraud become major issue for banking sectors. In Banking sectors there are a lot of transaction that operate on each day and increase day by day and it is necessary to make secure of money and transaction as well consumers information that fraudster do not steal easily. To overcome this issue there is a need of an efficient fraud detection method or system that detect fraud quickly and stop fraudster to commit fraud because it is very easy to steal any consumers login information to commit fraud like user name and password but we need a mechanism that can be impossible to crack easily and detect fraud on earlier stage. So in this research work, we discuss the method to prevent illegitimate or fraudulent transaction. For this purpose, we propose hybrid biometric and face recognition system. This system detect fraudulent transaction and stop fraudster to commit fraud and classify transaction as legitimate and illegitimate. This system is beneficial for either online or e-banking and through credit card transaction.

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Section: Intelligent Hybrid Fraud Detection Using Biometric and Face Recognitionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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