Abstract:
Online shoppers pay with e-banking. E-banking websites often request sensitive data like usernames, passwords, and credit card numbers for malicious purposes. Phishing websites are these e-banking sites. E-banking phishing website detection and prediction.
Classification Data mining algorithm-based system is intelligent, flexible, and effective. We classified phishing data sets using classification algorithms. URL, Domain Identity, Security, and Encryption can be used to detect e-banking phishing websites.
Our system uses data mining to determine if an e-banking website is phishing when a user makes a payment online. E-commerce companies can secure transactions with this app. This system’s data mining algorithm outperforms other classification algorithms. This system allows online purchases without hesitation.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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