AEGIS-X: AI-POWERED AUTONOMOUS SURVEILLANCE AND COMMAND SYSTEM

Abstract: The rapid growth of digital payment systems and e-commerce platforms has significantly improved convenience but has also led to an increase in online payment frauds and account takeover attacks. Traditional One-Time Password (OTP)-based authentication systems are vulnerable to social engineering attacks such as phishing, fake customer support calls, and deceptive messages. This paper proposes a contextaware security framework that enhances OTP-based authentication by integrating transaction details, location analysis, and real-time cybercrime reporting. The system links OTPs with billing information such as merchant name, transaction amount, and masked card details, enabling users to verify transactions before authorization. Additionally, the system detects suspicious activities using location-based anomaly detection and provides instant fraud reporting with transaction blocking. This approach transforms security from a reactive to a proactive model, reducing financial losses and improving user trust in digital payment systems.

Keywords: OTP Security, Payment Fraud Detection, Context-Aware Authentication, Cybercrime Reporting, Ecommerce Security