Web based project 32

• There are number of users who purchase products online and make payment through e- banking. 
• There are e- banking websites who ask user to provide sensitive data such as username, password or credit card details etc. often for malicious reasons.
• This type of e-banking websites is known as phishing website.
• In order to detect and predict e-banking phishing website, we proposed an intelligent, flexible and effective system that is based on using classification Data mining algorithm.
• We implemented classification algorithm and techniques to extract the phishing data sets criteria to classify their legitimacy.
• The e-banking phishing website can be detected based on some important characteristics like URL and Domain Identity, and security and encryption criteria in the final phishing detection rate.
• Once user makes transaction through online when he makes payment through e-banking website our system will use data mining algorithm to detect whether the e-banking website is phishing website or not.
• This application can be used by many E-commerce enterprises in order to make the whole transaction process secure.
• Data mining algorithm used in this system provides better performance as compared to other traditional classifications algorithms.
• With the help of this system user can also purchase products online without any hesitation.

Modules and their Description

The system comprises of 6 major modules as follows:

1. Registration
2. Login
3. Add to Blacklist
4. Check Website
5. Feedback
6. Change Password

Description:

1. Registration:

• A visitor can register himself to the website to access it.

1. Login:

• After a successful registration, user/admin may input his credentials to login into the system.

1. Add to Blacklist:

• Here, the system administrator adds the malicious website to the blacklist.

1. Check Website:

• Here, the user checks for the blacklisted website by inputting the URL.

1. Feedback:

• A user could send a feedback regarding the website to the admin.

1. Change Password:

• Admin may change his password for security purpose by inputting old and new password.

• Software Requirements:
• Windows 7 or higher
• WAMP Server
• Notepad++
• My SQL 5.6

• Hardware Components:
• Processor –Core i3
• Hard Disk – 160 GB
• Memory – 1GB RAM
• Monitor
• Internet Connection

• Advantages of the Proposed Project:
• This system can be used by many E-commerce Websites in order to have good customer relationship.
• User can make online payment securely.
• Data mining algorithm used in this system provides better performance as compared to other traditional classifications algorithms.
• With the help of this system user can also purchase products online without any hesitation.

Disadvantages:

• If Internet connection fails, this system won’t work.
• All e-banking websites related data will be stored in one place.

Application:

• This system will be useful for many E-commerce enterprises.
• This system will be useful for many users who purchase products online.

• Reference Link:
• http://ieeexplore.ieee.org/document/7473315/