Comparative Analysis of Ransomware Detection Techniques: Strengths and Vulnerabilities

Ransomware, a rapidly evolving digital menace, has increasingly posed significant challenges to individual users, enterprises, and even national infrastructure.The critical nature of its impact necessitates the development and refinement of specialized detection techniques.This paper delves into the intricacies of ransomware detection, evaluating a range of methodologies from traditional signature-based approaches to modern machine learning-driven strategies.The study sheds light on the strengths and weaknesses of each technique, highlighting the dynamic landscape in which ransomware operates.As these threats grow in sophistication, the research emphasizes the urgency to adopt multi-faceted, integrative detection approaches.Incorporating insights from real-world case studies, the paper provides actionable recommendations for stakeholders to bolster their defense mechanisms.