• SWARA SANJAY KALSEKAR

Ransomware has become one of the most serious problems in cybersecurity. Traditional defenses, such as antivirus software that uses signature-based detection, often fail to catch ransomware until files are already encrypted, leading to heavy data loss and financial damage. This paper introduces RansomShield, a multi-layered defense system designed to detect and stop ransomware at an early stage. It combines file system monitoring, process monitoring, and an adaptive machine learning model to identify unusual activity before encryption begins. Unlike existing fragmented tools, RansomShield provides a single desktop application with real-time alerts to help users take quick action. The paper discusses the methodology, objectives, and related research to show why RansomShield is an important and complete solution for defending against ransomware.

Ransomware, File System Monitoring, Process Monitoring, Machine Learning, RansomShield, Cybersecurity, Data Protection

"ASSESSING THE PERFORMANCE OF RANSOMSHIELD: A LAYERED APPROACH TO RANSOMWARE DETECTION AND DATA SECURITY ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 9, page no.d681-d686, September-2025, Available :http://www.jetir.org/papers/JETIR2509389.pdf

"ASSESSING THE PERFORMANCE OF RANSOMSHIELD: A LAYERED APPROACH TO RANSOMWARE DETECTION AND DATA SECURITY ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 9, page no. ppd681-d686, September-2025, Available at : http://www.jetir.org/papers/JETIR2509389.pdf