Malware Forensics v5:AI &ChatGPT Mastery in Malware Analysis

سرفصل های دوره

Navigating the Future of Malware Forensics with AI and ChatGPT

1 - Advanced Malware Dynamics Decoding Analyzing Polymorphic Malware

1 - The Complex World of Polymorphic Malware Lifecycle and Detection Strategies

2 - Understanding Autoencoders A Deep Dive

3 - Polymorphic Malware Detection using Autoencoders

4 - Lab Implementing Autoencoders in Polymorphic Malware Analysis

5 - Real Time Case Study Tackling Polymorphic Malware Threats

2 - AIDriven Analysis of Malware Behavior

6 - Decoding File Behaviors Spotting Malicious and Benign Patterns

7 - Lab AIbased Behavioral Malware Analysis

8 - Lab ChatGPT Condenses Quick Insights from Complex Security Reports

3 - Attribution Mastery Identifying the Origins of Malware Threats

9 - Uncovering the Puppet Masters Advanced Attribution in Malware Analysis

10 - Lab Applying SVM for Attribution Modeling in Malware Analysis

11 - Lab Automating IoC Extraction with ChatGPT for Cybersecurity Analysis

4 - Encrypted Traffic Analysis Malware Detection Without Decryption

12 - Malware Detection in Encrypted Traffic Without Decryption

13 - Advanced Techniques for Identifying Malwares in Encrypted Traffic

14 - Lab Malware Detection within Encrypted Traffic

5 - AI Trojan Warfare Advanced Detection Techniques Using Meta Neural Analysis

15 - Unmasking AI Trojans A Glimpse into Hidden Threats

16 - Defense Against Neural Trojan Attacks

17 - Unraveling the Mystique Inner Workings of Meta Neural Analysis

18 - Meta Neural Analysis for AI Trojan Detection

19 - Meta Neural Trojan Detection Workflow

20 - Lab AI Trojan Attack Detection using Meta Neural Analysis

6 - AI in Malware Forensics Evaluation Trends and Future Directions

21 - Assessing AI Models in Malware Detection Evaluation Techniques and Metrics

22 - AI in Malware Analysis Trends Predictions and Emerging Challenges

23 - Navigating the Horizon The Role of AI in Shaping the Future of Malware Analysis

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تولید کننده: Udemy