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

EasyChair Preprint no. 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: behavioral analysis, Cybersecurity, Dynamic Threat Mitigation, evolving threats, machine learning, malware detection, Real-time Protection, security measures

@Booklet{EasyChair:12372,
  author = {Usman Hider},
  title = {Behavior-Driven Malware Detection: Leveraging Machine Learning for Dynamic Threat Mitigation},
  howpublished = {EasyChair Preprint no. 12372},

  year = {EasyChair, 2024}}