Abstract:
E-Banking Log checks user behavior and location for suspicious tendencies. User attributes including spending patterns and geographic areas are used to verify identity. Recheck the system if any unexpected pattern is found. Read more: Web Based Projects Topics and Ideas
User credit card data is analyzed for numerous aspects. These include user country and spending habits. Based on that user’s previous data, the system applies Sequential Pattern Mining Algorithm to mine the previous transaction and check if the current transaction exceeds the amount. Read more: Detecting E Banking Phishing Using Associative Classification
If the system believes the user is not an official user, it blocks him, or if it finds him as an official user, it sends another OTP. If both OTPs are wrong, the account is blocked and can only be unlocked by an admin. Read more: Credit Card Fraud Detection
Just enter a website URL and the system will check for blacklists, fakes, etc. Sometimes E-Banking websites provide users different URLs like site.sbi.com, site3.sbi.com, etc., thus hackers build sitesbi.com *without ‘.’ to scan these websites. Read more: Credit Card Fraud Detection System Python
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
Did you like this final year project?
To download this project Code with thesis report and project training... Click Here
