Download PDFOpen PDF in browserBehavior-Driven Malware Detection: Leveraging Machine Learning for Dynamic Threat MitigationEasyChair Preprint 1237210 pages•Date: March 4, 2024AbstractThis paper explores the integration of machine learning techniques in dynamic threat mitigation through behavior-driven malware detection. By analyzing and understanding the behavioral patterns of malicious entities, we present a novel approach to enhance cybersecurity measures. Our research focuses on the development of a robust model capable of identifying and mitigating evolving threats in real-time, thereby fortifying systems against potential vulnerabilities. Keyphrases: Cybersecurity, Dynamic Threat Mitigation, Real-time Protection, behavioral analysis, evolving threats, machine learning, malware detection, security measures
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