Securing Cyberspace: Safeguarding Against Malware with Advanced Machine Learning in the Face of Deepfake Menaces

EasyChair Preprint no. 12035

Abstract

As the digital landscape evolves, the threat of malware continues to escalate, compounded by the emergence of deepfake technologies. This paper explores the integration of advanced machine learning techniques to enhance malware detection, especially in the context of deepfake threats. We delve into the intricacies of employing sophisticated algorithms to discern between legitimate and malicious entities, presenting a comprehensive approach to fortify cyberspace against the rising tide of cyber threats.

Keyphrases: Advanced Analytics, Artificial Intelligence, cyber defense, Cybersecurity, Deepfake, Digital Security, machine learning, malware detection, neural networks, Threat Mitigation

@Booklet{EasyChair:12035,
  author = {Battle Hurry},
  title = {Securing Cyberspace: Safeguarding Against Malware with Advanced Machine Learning in the Face of Deepfake Menaces},
  howpublished = {EasyChair Preprint no. 12035},

  year = {EasyChair, 2024}}