Malware Forensics V5Ai &Chatgpt Mastery In Malware Analysis

Free Download Malware Forensics V5Ai &Chatgpt Mastery In Malware Analysis
Published 3/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.69 GB | Duration: 5h 24m
Navigating the Future of Malware Forensics with AI and ChatGPT

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 Malware Analysis with AI
Encrypted Malware Analysis with AI
Polymorphic Malware Analysis with AI
Malware File Behavior Analysis with AI
Attribution Modeling in Malware Analysis with AI
AI Trojans Detection and Analysis with AI
Malware Forensics using AI
Malware Evasion Analysis
Requirements
Basic knowledge of Python will be good
Basic Knowledge of Machine Learning and AI will be good
But everything will be taught from the round up
Description
Dive into the intricate and ever-evolving domain of malware forensics with "Malware Forensics v5: AI & ChatGPT Mastery in Malware Analysis," a pioneering course crafted to arm you with the advanced knowledge and skills essential for mastering the latest cybersecurity challenges. This course emphasizes the transformative role of AI and ChatGPT in revolutionizing malware detection and analysis, setting a new benchmark in the field.Chapter 1: Advanced Malware Dynamics - Decoding & Analyzing Polymorphic MalwareEmbark on a journey into the complex universe of polymorphic malware. Grasp the nuances of their evolution, behavior, and the cutting-edge strategies employed for their detection. Through a deep dive into autoencoders and their application in polymorphic malware detection, complemented by hands-on labs and real-time case studies, you'll gain a profound understanding of these elusive threats.Chapter 2: AI-Driven Analysis of Malware BehaviorUnlock the mysteries behind malware behavior and patterns with AI-driven methodologies. This chapter equips you with the ability to discern between malicious and benign file behaviors, enriched by practical lab experiences focusing on AI-based behavioral analysis and the innovative use of ChatGPT for condensing complex security insights.Chapter 3: Attribution Mastery - Identifying the Origins of Malware ThreatsAchieve mastery in pinpointing the origins of malware threats. Learn sophisticated attribution techniques and leverage Support Vector Machines (SVM) in a lab setting for precise attribution modeling. Enhance your analysis further by automating the extraction of Indicators of Compromise (IoCs) with ChatGPT, a skill crucial for in-depth cybersecurity analysis.Chapter 4: Encrypted Traffic Analysis- Malware Detection Without DecryptionTackle the challenge of malware detection within encrypted traffic without the need for decryption. This chapter introduces advanced methods for identifying malware in encrypted communications, reinforced through dedicated lab exercises, preparing you to navigate one of cybersecurity's most daunting tasks.Chapter 5: AI Trojan Warfare - Advanced Detection Techniques Using Meta Neural AnalysisDelve into the shadowy realm of AI Trojans and the innovative Meta Neural Analysis techniques developed to unmask these hidden threats. Through theoretical insights and lab-based application, you'll learn to detect and defend against neural Trojan attacks, a critical skill in today's AI-driven cybersecurity landscape.Chapter 6: AI in Malware Forensics - Evaluation, Trends, and Future DirectionsEvaluate the effectiveness of AI models in malware detection and explore the forefront of trends, predictions, and emerging challenges in malware analysis. This chapter provides a visionary perspective on the role of AI in sculpting the future of malware forensics, equipping you with the knowledge to lead in the cybersecurity arena.This course is meticulously designed to offer a harmonious blend of theoretical depth and practical application, making it an indispensable resource for professionals eager to augment their expertise in cybersecurity and malware forensics. Embark on this journey with us to stay at the forefront of combating cyber threats in an AI-enhanced world.
Overview
Section 1: Advanced Malware Dynamics : Decoding & Analyzing Polymorphic Malware
Lecture 1 The Complex World of Polymorphic Malware: Lifecycle and Detection Strategies
Lecture 2 Understanding Autoencoders: A Deep Dive
Lecture 3 Polymorphic Malware Detection using Autoencoders
Lecture 4 Lab: Implementing Autoencoders in Polymorphic Malware Analysis
Lecture 5 Real Time Case Study: Tackling Polymorphic Malware Threats
Section 2: AI-Driven Analysis of Malware Behavior
Lecture 6 Decoding File Behaviors: Spotting Malicious and Benign Patterns
Lecture 7 Lab: AI-based Behavioral Malware Analysis
Lecture 8 Lab : ChatGPT Condenses: Quick Insights from Complex Security Reports
Section 3: Attribution Mastery: Identifying the Origins of Malware Threats
Lecture 9 Uncovering the Puppet Masters: Advanced Attribution in Malware Analysis
Lecture 10 Lab: Applying SVM for Attribution Modeling in Malware Analysis
Lecture 11 Lab: Automating IoC Extraction with ChatGPT for Cybersecurity Analysis
Section 4: Encrypted Traffic Analysis: Malware Detection Without Decryption
Lecture 12 Malware Detection in Encrypted Traffic (Without Decryption)
Lecture 13 Advanced Techniques for Identifying Malwares in Encrypted Traffic
Lecture 14 Lab: Malware Detection within Encrypted Traffic
Section 5: AI Trojan Warfare: Advanced Detection Techniques Using Meta Neural Analysis
Lecture 15 Unmasking AI Trojans: A Glimpse into Hidden Threats
Lecture 16 Defense Against Neural Trojan Attacks
Lecture 17 Unraveling the Mystique: Inner Workings of Meta Neural Analysis
Lecture 18 Meta Neural Analysis for AI Trojan Detection
Lecture 19 Meta Neural Trojan Detection Workflow
Lecture 20 Lab: AI Trojan Attack Detection using Meta Neural Analysis
Section 6: AI in Malware Forensics: Evaluation, Trends, and Future Directions
Lecture 21 Assessing AI Models in Malware Detection: Evaluation Techniques and Metrics
Lecture 22 AI in Malware Analysis: Trends, Predictions, and Emerging Challenges
Lecture 23 Navigating the Horizon: The Role of AI in Shaping the Future of Malware Analysis
Anyone who want to enhance skills in cyber security threat detection,Any people who want to create added value to their cyber security business,Any one who want to start or pursue career in Digital Forensics,Any one who want to start or pursue career in Malware Forensics,Any one who want to start or pursue career in Malware Analysis,Anyone who want to enhance skills in Malware Analysis,Anyone who want to enhance skills in Cloud based Malware Analysis,Any one who are not satisfied with their job, but want to become Malware Analysis Expert,Any one who want to start or pursue career in AI & ChatGPT based Malware Forensics,Any one who want to enhance skills in AI & ChatGPT based Malware Detection and Analysis

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