Publication Date

Spring 2025

Document Type

Capstone Project

Degree Name

Master of Science

Department

Information Technology

First Advisor

Abbas Imam

Second Advisor

Mark Las

Third Advisor

Rich Manprisio

Abstract

Ransomware attacks have come to be a critical cybersecurity hazard, inflicting big economic losses and data breaches international. This mission affords a Ransomware Detection and Prevention System designed to pick out and mitigate ransomware threats in actual-time. The gadget employs a multi-layered method, combining real-time document monitoring, entropy evaluation, and procedure conduct analysis to discover ransomware-like activities together with rapid document encryption and suspicious system conduct. Upon detection, the system automatically terminates malicious approaches, creates backups of affected documents, and signals users thru a actual-time dashboard. Developed the usage of Python and equipment like Watchdog and Psutil, the gadget changed into examined in a managed digital system environment the usage of simulated ransomware attacks. Results display a 94% detection accuracy with a 6% charge and a mean reaction time of much less than 2 seconds. The system’s proactive approach and scalability make it appropriate for private, agency, and research applications. Future improvements encompass integrating device studying for improved detection and lengthening aid to pass-platform environments. This venture contributes to the sector of cybersecurity by means of presenting a practical, efficient, and scalable answer for preventing ransomware.

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