An Intelligent System for Detecting Malicious Activity and Financial Fraud: A Programmatic Approach to Fraud Prevention
Ms. Sayali Parab · International Journal for Research in Applied Science and Engineering Technology · 2025
Abstract: In today’s digital age, we are almost constantly connected to the internet and rely heavily on various websites for activities such as e-commerce, education, entertainment, and gaming. However, many users often overlook a critical aspect— whether the websites they interact with are genuinely secure. With the increasing number of online scams and fraudulent activities, it is essential to have tools that ensure safe browsing and transaction practices. Our proposed solution is a smart website that assists users in identifying potentially harmful or fraudulent platforms, especially in high-risk sectors like e-commerce, banking, and fintech. The system will utilize advanced analysis of user behavior, access patterns, and historical data to detect malicious intent or fraud attempts. By leveraging these insights, our program will alert users in real time with warnings if they attempt to access suspicious websites. This proactive approach aims to significantly reduce the risk of financial loss and enhance user trust in online platforms. By automatically providing suggestions and alerts, users are better equipped to avoid scams. Ultimately, our solution not only empowers individuals to browse safely but also acts as a critical tool in combating cyber fraud in an increasingly digital future.