What you'll learn:
- Malware Forensics
- Malware Analysis, Intrusion and Prediction
- Digital Forensics
- Detection of Fileless Malware with AI
- Detection of Stealthy Malware with AI
- Cloud-Based Malware Analysis
- Static Malware Analysis with AI
- Malware Analysis with ChatGPT
- Metamorphic Malware Analysis with AI
- Malware Executable File Analysis with AI
- Malware Forensics using AI
- Malware Evasion Analysis
"Malware Forensics v4: AI & ChatGPT Mastery in Malware Analysis" is an advanced course meticulously designed to tackle the evolving menace of sophisticated malware through the lens of artificial intelligence (AI), deep learning (DL), and the groundbreaking capabilities of ChatGPT. This course is structured to arm cybersecurity professionals with the latest knowledge and practical skills required to decode, analyze, and effectively counteract an array of modern malware threats.
Chapter 1: Advanced Detection of Fileless Malware - Integrating Memory Forensics with AI&DL
Delve into the intricate world of Fileless malware detection, where AI and DL converge with memory forensics. Master the creation of real-time datasets for in-memory detection and explore algorithmic approaches for AI-driven malware analysis. Engage in a lab that develops automated deep learning strategies targeting elusive Fileless malware.
Chapter 2: Advanced Detection of Stealthy Malware - Leveraging Memory Forensics & Deep Learning
Understand how to unmask obfuscated malware using the combined strength of memory forensics and deep learning. Learn to detect stealthy threats by implementing cutting-edge deep learning methodologies in a hands-on lab environment.
Chapter 3:Modernizing Future of Malware Defense - Automated Platforms and Sandbox Solutions
Modernize your approach to malware defense with automated platforms and sandbox solutions. Discover how malware sandbox platforms can enhance enterprise security and how Fileless malware detection can be integrated within system architectures.
Chapter 4: Advanced Malware Dynamics - Decoding & Analyzing Metamorphic Malware
Engage with the dynamics of metamorphic malware, utilizing advanced detection techniques and applying sequence-to-sequence models and graph neural networks (GNNs). Dive into malware classification through reverse engineering for CFGs and experience practical application in our specialized lab.
Chapter 5: AI-Driven Analysis of Malware Executables
Explore a unified AI detection strategy for behavioral and executable malware. Gain hands-on experience detecting malware within executable files, leveraging the power of AI.
Chapter 6: Innovative Effective Malware Analysis with ChatGPT - Strategies & Techniques
Capitalize on the multifaceted approach of ChatGPT for malware behavioral analysis. Incorporate ChatGPT into your workflow and deploy it for in-depth malware code behavior analysis through an interactive lab session.
This course offers an exceptional blend of theory and hands-on experience, perfect for cybersecurity experts aspiring to be at the forefront of malware forensics. Join us to refine your expertise and stay one step ahead in the cybersecurity domain.
