SmartGaurd: Real-Time Behavioral Analysis System for Malicious File Activity Detection

Abstract

The rapid growth of digital documentation in enterprises has created significant challenges in ensuring secure storage, controlled access, and reliable auditing of sensitive information. This research presents a SmartGaurd: Real-Time Behavioral Analysis System for Malicious File Activity Detection  designed to protect confidential organizational data using a layered security architecture. The proposed system is developed using a React-based user interface for responsive and dynamic client interaction, while the server-side operations are handled through the Django framework, enabling robust authentication, authorization, and document processing. The platform integrates SQLite3 as the database engine to maintain structured document metadata, user credentials, and audit logs. To strengthen access control, the system incorporates One-Time Password (OTP) verification mechanisms and encryption techniques to ensure that only authorized users can access or download protected files. This architecture improves data confidentiality while minimizing the risk of unauthorized data exposure. The system workflow includes secure user authentication, encrypted document upload, malware inspection, controlled file sharing, and real-time audit logging to maintain transparency in document access activities. Whenever a user attempts to retrieve protected documents, the system dynamically generates an OTP to validate the request and prevent unauthorized downloads. Additionally, administrative and auditing modules monitor user behavior and maintain detailed activity logs that can be analyzed for compliance verification and anomaly detection. By combining modern web technologies (React and Django) with security mechanisms such as encryption and OTP-based validation, the proposed system provides a scalable and efficient approach to enterprise document security. The implementation demonstrates how integrated authentication, encryption, and auditing mechanisms can significantly enhance data protection while maintaining system usability and operational efficiency.