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Credit Card Fraud Detection - Dotnet C# Projects - Code Shoppy
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HomeDotnet C# Credit Card Fraud Detection System
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Credit Card Fraud Detection System

$49

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Description

Credit Card Fraud Detection System using asp.net with Csharp

The credit card fraud detection features uses user behavior and location scanning to check for unusual patterns. These patterns include user characteristics such as user spending patterns as well as usual user geographic locations to verify his identity.

 If any unusual pattern is detected, the system requires revivification.
Credit Card Fraud Detection System The system analyses user credit card data for various characteristics. These characteristics include user country, usual spending procedures. Based upon previous data of that user the system recognizes unusual patterns in the payment procedure. So now the system may require the user to login again or even block the user for more than 3 invalid attempts.A FDS keeps running at a charge card issuing bank. Every approaching exchange is submitted to the FDS for check. FDS gets the card points of interest and the estimation of procurement to confirm, regardless of whether the exchange is bona fide or not. The sorts of products that are purchased in that exchange are not known to the FDS. It tries to discover any inconsistency in the exchange in view of the spending profile of the cardholder, shipping location, and charging address, and so on.

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Credit Card Fraud Detection System

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Credit Card Fraud Detection System

Existing System

If there should be an occurrence of the current framework the extortion is recognized after the misrepresentation is done that is, the misrepresentation is distinguished after the dissension of the card holder. Thus the card holder confronted a considerable measure of inconvenience before the examination wrap up. And furthermore as all the exchange is kept up in a log, we have to keep up gigantic information.

DISADVANTAGES

Online buy is made so we don’t have a clue about the individual how is utilizing the card on the web, we simply catch the IP address for confirmation reason. So there require an assistance from the cybercrime to examine the misrepresentation. To dodge the whole above disservice we propose the framework to recognize the misrepresentation in a best and simple way.

Proposed System

In proposed framework, to introduce a Hidden Markov Model (HMM).Which does not require extortion marks but then can recognize cheats by considering a cardholder’s way of managing money. Card exchange handling grouping by the stochastic procedure of a HMM.

The points of interest of things acquired in Individual exchanges are normally not known to a FDS running at the bank that issues charge cards to the cardholders. Consequently, we feel that HMM is a perfect decision for tending to this issue. Another vital preferred standpoint of the HMM-based approach is an uncommon decrease in the quantity of False Positives exchanges distinguished as vindictive by a FDS in spite of the fact that they are really certified.

Advantages

  1. The identification of the extortion utilization of the card is discovered substantially speedier that the current framework.
  2. If there should arise an occurrence of the current framework even the first card holder is additionally checked for misrepresentation discovery. Yet, in this framework no compelling reason to check the first client as we keep up a log.
  3. The log which is kept up will likewise be a proof for the bank for the exchange made.
  4. We can locate the most precise discovery utilizing this procedure.
  5. This diminish the dreary work of a representative in the bank

HARDWARE REQUIREMENTS

System                   :  Intel3core

HardDisk              :  8GB

Monitor                 :  14’ColorMonitor

Mouse                    :   Optical Mouse

SOFTWARE REQUIREMENTS

Operating system       :  Windows7/8/10

Coding Language       :   ASP.Net with C# (Service Pack 1)

Data Base                     :   SQL Server 2014

Tools                             :  Visual studio 2013

Functionality Performed by Admin and User:

These are the functionality performed by Admin and User

Modules

This Project has following Modules:

  • Admin
  • User

1) Admin Module

  • Home
  • View User
  • View Blocked User
  • View All Transaction
  • Logout

2) User Module

  • Home
  • Transaction
  • Product
  • View Profile
  • View Log
  • Logout

Additional information
Buy Android or PHP

Android, PHP

FAQs

1. When will I get the project source code after payment?

Our Tech support team will contact you immediately. You will receive the project source code within an hour, with instant software downloads and demo will be scheduled.

2. How will deliver the project?

We will connect you through Anydesk software with the live demo on the direct call.

3. Will your provide revisions / modifications?

No. We well not provide any revisions / modifications.

4. Will I get a refund?

There are no refund policies. You can buy the projects after confirming the project video.

5. How do I run the project on my PC?

You don’t need to worry about it. Our Tech support team will do the project installation and configuration.

6. Will I get a Project Explanation and the Project Demo?

Yes. Our technical support team explains the project on your PC with live demo.

7. What should I do if there are any issues after the project delivery?

You can contact our support team if there are any issues. Tech Support: +91 9790675343 Whatsapp Now

8. How can I make the Payment?

Payment Options: •Debit Card •Credit Card •Net Banking •Google Pay •UPI Payment •Wallet •Direct Bank Transfer.

9. How to buy the project?

Buy from our official website codeshoppy.com. There you can buy the projects through any of the online payment method available and you will get the project by online.

10. How do I get the project modifications?

Yes, before delivering the project we will do the modifications listed by you from the demo video. No modifications after the project delivery.

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Credit Card Fraud Detection - Dotnet C# Projects - Code Shoppy

Credit Card Fraud Detection System

$49

Out of stock

Add to wishlist