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    Malware Forensics V5:Ai &Chatgpt Mastery In Malware Analysis

    Posted By: ELK1nG
    Malware Forensics V5:Ai &Chatgpt Mastery In Malware Analysis

    Malware Forensics V5:Ai &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