Cyber Sleuths: Strengthening Digital Defenses through Malware Detection and Prevention

Abstract

Malware propagation is a significant threat to the security and privacy of individuals and organizations worldwide. To combat this ever-evolving threat, a collective effort is required to identify and report instances of malicious activities. In this project, we propose a novel approach to reporting and tracking the propagation of malware in real-time. Leveraging the power of artificial intelligence and machine learning, our system will analyze data from various sources to identify potential threats and alert users before the malware has a chance to spread. Our approach also includes a user-friendly reporting mechanism that encourages individuals to report suspicious activity, contributing to a shared database of threat intelligence. By pooling resources and expertise, we aim to create a collaborative network that can effectively identify and neutralize malware attacks, safeguarding the digital landscape for all.