Intelligent rule-based phishing websites classification Based on URL Features

Phishing websites are the websites through which the sensitive and confidential information of the customers will be misused. This usually takes place while doing some online shopping where the payment through the online mode. There will be some e-banking websites which asks for some sensitive data like username, password, otp, credit card details etc. What if there is an application that will classify that the websites are the phishing websites? Yes, it is possible by using intelligent rule-based phishing websites classification based on URL features application. Through the use of URL of the websites whether it is phishing websites or not will be detected.

The URL, domain identity of the websites and other characteristics of the websites can detect the websites are phishing websites or not. This will be one of the applications that one can implement in real time world and avoid making payments through the phishing websites. By making payments through the phishing websites, the information of the users can be in danger situation. This application can ensure safer payments through the use of this application. This application can ensure in having safer payments since the phishing websites can be detected very easily. Through the use of algorithm in this application, the phishing data can be detected very easily. This application can help in having good customer relation with great ease. The features that can be included in intelligent rule-based phishing websites classification based on URL features application are as follows:

  • Secure payment: The online payment can be made securely through the use of this application.
  • Virus and bugs: This application can protect the websites from virus and bugs.
  • Scan: The websites will not be scanned automatically through the use of this application.
  • Data security: By using this application, the security of the users information will be in safer hands.
🔥132 Views

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.