Ransomware has become a major cybersecurity threat, and traditional signature-based detection methods are often ineffective against modern variants using advanced evasion techniques.This study proposes a behavior-based detection framework using entropy analysis, string pattern matching, file header inspection, MITRE ATT&CK mapping, and IOC detection within a sandbox environment to accurately identify ransomware threats.

Sushmita KM, Dr.P Kavitha,"Ransomware Behavioural Analysis" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(4): Page(89-92) March - April 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.