2. Contents
• Introduction
• Problem Definition
• Proposed Solution
• Block Diagram
• Implementation
• Software and Hardware Requirements
• Benefits
• Results and Conclusion
3. Introduction
• Online Shopping – one of the largest and
fast going trend
• Mode of payment – credit card, debit card,
Net Banking
• Online payment does not require physical
card
• Major Risk – credit /debit card detail is
known to other
4. Problem Definition
• Online payment does not require physical
card
• Anyone who know the details of card can
make fraud transactions
• Currently, card holder comes to know only
after the fraud transaction is carried out.
• No mechanism to track the fraud
transaction
5. Proposed Solution
• A mechanism is developed to determine
whether the given transaction is fraud or not
• The mechanism uses Hidden Markov Model
to detect fraud transaction
• Hidden Markov Model works on the basis of
spending habit of user.
• Classifies user into Low, Medium or High
category
7. Implementation
• Project is implemented using following technologies :
HTML, CSS, JavaScript, PHP and MySQL
• HTML and CSS is used for interface designing
• JavaScript is used for client side validation
• PHP is used for server side scripting
• MySQL is used for database
8. Hardware & Software Req.
Online
Auction System
• Pentium Core 2
Duo processor or
above
• I GB RAM
• 20 GB HDD
• Router for Internet
Connection
• Windows 2000/
Windows XP/
Windows Vista/
Windows 7
• WAMP
• Macromedia
Dreamweaver
9. Benefits
• Reduction in number of fraud transaction
• User can safely use his credit / debit card for
online transaction
• Added layer of security
10. Results and Conclusion
• Fraud detection is based on Hidden Markov
Model which is learning algorithm, hence not
100% correct
• It has detected those transaction as fraud
where user belongs to low category and high
category payment is made or vice versa
• The mechanism require at least 10 transaction
to determine accurately the transaction as
fraud or not.
