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Advancing Ransomware Resilience in Critical Infrastructure
Abstract
This chapter examines the evolution of ransomware attacks on critical infrastructure by synthesizing research findings from 2018 to 2025. The study systematically reviewed literature and industry reports from databases including Google Scholar, Scopus, IEEE Xplore, and Web of Science using keywords such as “ransomware,” “critical infrastructure,” “cybersecurity,” and “machine learning.” Comparative analysis was conducted through tables that illustrate rising incident frequencies, extended downtime, and significant economic impacts—up to a 500% increase in some sectors. Advanced technologies, including AI and ML, are shown to reduce detection and response times by up to 50%. The chapter also identifies emerging tactics such as double extortion and backup encryption, proposes an enhanced risk assessment model integrating dynamic threat intelligence, and outlines recommendations for policy and future research to bridge gaps in legacy system security and adaptive defense measures.
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