Behavior-Driven Malware Detection: Leveraging Machine Learning for Dynamic Threat Mitigation

EasyChair Preprint 12372

Abstract

This 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

@booklet{EasyChair:12372,
  author    = {Usman Hider},
  title     = {Behavior-Driven Malware Detection: Leveraging Machine Learning for Dynamic Threat Mitigation},
  howpublished = {EasyChair Preprint 12372},
  year      = {EasyChair, 2024}}