Proactively Detecting Threats: A Novel Approach Using LLMs

Documenti analoghi

• A Decompilation-Driven Framework for Malware Detection with Large Language Models
  di: Chawla, Aniesh, et al.
  Pubblicazione: (2026)
• A Unified Evaluation of Learning-Based Similarity Techniques for Malware Detection
  di: Prasad, Udbhav, et al.
  Pubblicazione: (2026)
• LLM-Assisted Proactive Threat Intelligence for Automated Reasoning
  di: Paul, Shuva, et al.
  Pubblicazione: (2025)
• Proactive Detection of Physical Inter-rule Vulnerabilities in IoT Services Using a Deep Learning Approach
  di: Huang, Bing, et al.
  Pubblicazione: (2024)
• Pro-ZD: A Transferable Graph Neural Network Approach for Proactive Zero-Day Threats Mitigation
  di: Basta, Nardine, et al.
  Pubblicazione: (2026)