Navigating the Future of Malware Forensics with AI and ChatGPT
This course, “Malware Forensics v5: AI & ChatGPT Mastery in Malware Analysis”, offers a comprehensive journey into the world of malware forensics, enhanced by AI and ChatGPT. With 5.5 hours of on-demand video, it equips learners with the skills necessary to address emerging cybersecurity challenges, focusing on the integration of advanced AI tools and ChatGPT for malware analysis.
What You’ll Learn:
- Malware Forensics
- Malware Analysis, Intrusion, and Prediction
- Digital Forensics
- Static Malware Analysis
- Malware Forensics using AI
- Malware Analysis with ChatGPT
- Static & Encrypted Malware Analysis with AI
- Polymorphic Malware Analysis with AI
- Malware File Behavior Analysis with AI
- Attribution Modeling in Malware Analysis
- AI Trojans Detection and Analysis
- Malware Evasion Analysis
Course Breakdown:
Chapter 1: Advanced Malware Dynamics – Decoding & Analyzing Polymorphic Malware
Learn about polymorphic malware, its behavior, and the strategies used for detection. Explore autoencoders and their applications, alongside hands-on labs and case studies.
Chapter 2: AI-Driven Analysis of Malware Behavior
Discover AI-driven techniques to analyze malware behavior and distinguish between malicious and benign file activities, with practical labs using ChatGPT for simplifying security insights.
Chapter 3: Attribution Mastery – Identifying the Origins of Malware Threats
Master attribution techniques and learn to use Support Vector Machines (SVM) for modeling. Automate the extraction of Indicators of Compromise (IoCs) with ChatGPT for enhanced threat detection.
Chapter 4: Encrypted Traffic Analysis – Malware Detection Without Decryption
Explore methods to detect malware in encrypted traffic, without decryption. Engage in lab exercises focused on advanced malware detection techniques.
Chapter 5: AI Trojan Warfare – Advanced Detection Techniques Using Meta Neural Analysis
Learn about AI Trojans and the use of Meta Neural Analysis for their detection. This chapter offers a mix of theoretical insights and lab applications to defend against AI-driven threats.
Chapter 6: AI in Malware Forensics – Evaluation, Trends, and Future Directions
Evaluate AI models used in malware detection and explore future trends in the field. Gain a forward-looking perspective on how AI will continue to shape malware forensics.
Why This Course?
This course is designed for both cybersecurity enthusiasts and professionals aiming to elevate their malware forensics and AI-based analysis skills. It’s ideal for those interested in:
- Enhancing cyber threat detection skills
- Starting a career in digital forensics, malware forensics, or AI-based malware detection
- Learning the practical application of AI and ChatGPT in malware analysis
Who Should Take This Course?
- Individuals aiming to enhance cybersecurity threat detection skills
- Professionals wanting to create value in their cybersecurity business
- Those interested in starting or advancing a career in Digital Forensics or Malware Analysis
- Anyone seeking to master AI & ChatGPT in malware forensics and analysis
This course is a powerful resource for anyone looking to stay ahead in the cybersecurity field, equipping learners with both theoretical and practical knowledge to tackle modern cyber threats.
HOMEPAGE – https://www.udemy.com/course/malware-forensics-ai-chatgpt/
File Size 1.78 GB
