Predictive Code-Path Mapping for High-Precision Ransomware Detection

Predictive modeling techniques have increasingly demonstrated their value in addressing the challenges posed through evolving cyber threats. A novel methodology, Predictive Code-Path Mapping (PCPM), is introduced to detect and mitigate ransomware activities through the analysis of execution paths. Unlike traditional approaches, which often rely on static signatures or heuristic evaluations, PCPM utilizes machine learning algorithms to generate dynamic baselines for program behaviors, enabling the identification of deviations indicative of malicious intent. Experiments conducted across a diverse array of ransomware families, including LockBit, BlackMatter, and Conti, showcased detection rates exceeding 90\% in most scenarios, with false positive rates consistently maintained below 5\%. Scalability was evaluated through extensive testing on datasets ranging from 10,000 to 100,000 samples, with results indicating robust performance across all conditions. The methodology further demonstrated its resilience against polymorphic and time-based attack strategies, showing its adaptability to complex operational environments. Energy efficiency metrics revealed linear scaling with increasing dataset sizes, emphasizing the framework's feasibility for real-world deployment. Comparative analysis with existing detection frameworks highlighted substantial improvements in both detection accuracy and operational reliability. The incorporation of advanced preprocessing techniques and secure communication channels between modular components ensured data integrity and minimized vulnerabilities during detection processes. While handling encrypted traffic remains an area requiring refinement, the framework maintained high effectiveness even in environments characterized through obfuscated data. These findings collectively validate the potential of PCPM to transform ransomware detection through its predictive and scalable architecture, offering a promising direction for securing digital infrastructures against advanced threats.