Transfer Learning Strategies for Credit Card Fraud Detection
Product Description
Aim:
The main aim of the project is to identify the Credit card Fraud transaction that has been initiated by the any user and to avoid that type of transaction.
Synopsis:
The rapid increase of online transaction has given rise to a significant amount. However, the Internet environment is open, online shopping systems have bugs, and criminals can use some bad techniques such as Trojan and pseudo base-station. All these result in a serious increasing of credit card fraud events. When a criminal steals or cheats the information of the credit card of a cardholder, the criminal can use the credit card to consume. According to the Nilsson Report in October 2016, more than $31 trillion were generated worldwide by online payment systems in 2015, increasing 7.3% than 2014. Worldwide losses from credit card fraud rose to $21 billion in 2015, and will possibly reach $31 billion by 2020. Our proposed model will used in order to avoid these fraud transactions.
Proposed System:
To Identify the Fraud transaction server need to maintain user transaction data like transaction processed location, merchant name, and amount of transaction that process based on these server will maintain the transaction data. During transaction the server will save the information like amount and location from where the transaction takes place. If a transaction takes place from a new location the server sends the information to credit card user for second level authentication. After second level authentication is done the transaction takes place so that we can avoid credit card fraud.
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Package Includes
Software Projects Includes
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- Base paper
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The Delivery time for software projects is 2 -3 working days. Some of the software projects will require Hardware interface. Please go through the hardware Requirements in the abstract carefully. The Hardware will take 7-8 Working Days
Hardware Projects Includes
- Demo Video
- Abstract
- Base paper
- Full Project PPT
- Datasheets
- Circuit Diagrams
- Source Code
- Screen Shots & Photos
- Software Links
- Reference Papers
- Lit survey
- Full Project Documentation
- Online support
The Delivery time for Hardware
projects is 7-8 working days.
Mini Projects: Software Includes
- Demo Video
- Abstract
- Base paper
- Full Project PPT
- UML Diagrams
- SRS
- Source Code
- Screen Shots
- Software Links
- Reference Papers
- Full Project Documentation
- Online support
The
Delivery time for software Miniprojects is 2 -3 working days.
Mini Projects - Hardware includes
- Demo Video
- Abstract
- PPT
- Datasheets
- Circuit Diagrams
- Source Code
- Screen Shots & Photos
- Software Links
- Reference Papers
- Full Project Documentation
- Online
support
The Delivery time for Hardware Mini projects is 7-8 working days.