EXPLORING CLOUD NETWORK FORENSICS: A COMPREHENSIVE SURVEY OF TOOLS AND TECHNIQUES ENHANCED WITH DEEP LEARNING MODELS

A comprehensive investigation into cloud network forensics, providing an in-depth survey of tools and techniques while integrating advanced deep learning models for enhanced analysis. By examining various cloud environments, including public, private, and hybrid infrastructures, the study explores the challenges and opportunities in detecting, analyzing, and mitigating security incidents. This survey provides an overview of forensic tools and techniques used to investigate cyber incidents, focusing on the integration of deep learning models for enhanced threat detection and analysis. Through the utilization of deep learning methodologies, the research aims to enhance the efficiency and accuracy of forensic investigations, offering valuable insights into emerging trends and best practices for securing cloud-based systems. It highlights key challenges, including data privacy and real-time threat detection, while discussing future trends in AI-driven forensics.