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Malware Forensics v5:AI &ChatGPT Mastery in Malware Analysis

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Dharmanandana Reddy Pothula

5:24:06

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  • 1 - The Complex World of Polymorphic Malware Lifecycle and Detection Strategies.mp4
    06:06
  • 2 - Understanding Autoencoders A Deep Dive.mp4
    10:57
  • 3 - Polymorphic Malware Detection using Autoencoders.mp4
    03:55
  • 4 - Lab Implementing Autoencoders in Polymorphic Malware Analysis.mp4
    25:24
  • 5 - Real Time Case Study Tackling Polymorphic Malware Threats.mp4
    08:50
  • 6 - Decoding File Behaviors Spotting Malicious and Benign Patterns.mp4
    08:31
  • 7 - Lab AIbased Behavioral Malware Analysis.mp4
    15:13
  • 8 - Lab ChatGPT Condenses Quick Insights from Complex Security Reports.mp4
    11:45
  • 9 - Uncovering the Puppet Masters Advanced Attribution in Malware Analysis.mp4
    06:34
  • 10 - Lab Applying SVM for Attribution Modeling in Malware Analysis.mp4
    20:34
  • 11 - Lab Automating IoC Extraction with ChatGPT for Cybersecurity Analysis.mp4
    17:37
  • 12 - Malware Detection in Encrypted Traffic Without Decryption.mp4
    08:02
  • 13 - Advanced Techniques for Identifying Malwares in Encrypted Traffic.mp4
    11:57
  • 14 - Lab Malware Detection within Encrypted Traffic.mp4
    51:03
  • 15 - Unmasking AI Trojans A Glimpse into Hidden Threats.mp4
    08:55
  • 16 - Defense Against Neural Trojan Attacks.mp4
    11:43
  • 17 - Unraveling the Mystique Inner Workings of Meta Neural Analysis.mp4
    08:22
  • 18 - Meta Neural Analysis for AI Trojan Detection.mp4
    06:51
  • 19 - Meta Neural Trojan Detection Workflow.mp4
    09:12
  • 20 - Lab AI Trojan Attack Detection using Meta Neural Analysis.mp4
    40:31
  • 21 - Assessing AI Models in Malware Detection Evaluation Techniques and Metrics.mp4
    09:01
  • 22 - AI in Malware Analysis Trends Predictions and Emerging Challenges.mp4
    06:12
  • 23 - Navigating the Horizon The Role of AI in Shaping the Future of Malware Analysis.mp4
    16:51
  • Description


    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

    Who is this for?


  • 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
  • What You Need to Know?


  • 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
  • More details


    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 Malware

    Embark 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 Behavior

    Unlock 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 Threats

    Achieve 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 Decryption

    Tackle 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 Analysis

    Delve 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 Directions

    Evaluate 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.

    Who this course is for:

    • 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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    Dharmanandana Reddy Pothula
    Dharmanandana Reddy Pothula
    Instructor's Courses
    I, Dharmanandana Reddy, am a cyber security expert with 22+ years of experience in Various Cyber Security Technologies & Domains,  Ethical Hacking, Penetration Testing, Cyber Security Incident Handling, Forensic Analysis. I am Certified Ethical Hacker and Certified Hacking Forensic Investigator from EC Council, and Certified Incident Handler. I worked for some of the biggest tech companies around the world. I have also filed and held multiple patents in cyber security and further, contributed to research papers on cyber security and presented at various international conferences; and am now taking all that I have learned, to teach cyber security skills and to help you discover the amazing career opportunities in cyber security. I have worked and discovered quite many vulnerabilities too.I believe that Online Security and Privacy are essential as many cyber attacks are targeting every system every day. Nowadays, no system is safe and that is why I am here to help you to discover many hazardous vulnerabilities and also learn to secure them.Cyber security skills should be affordable and open to all. An education material should teach real-life skills. My main goal as an instructor is to teach the foundations of Ethical Hacking, Penetration Testing, Offensive & Defensive Techniques, Cyber Security Incident Handling, AI Cyber Security and other Cyber Security technologies to anyone who wants to pursue this as a career or wants to learn it to protect themselves online. We as defenders must always be ready to learn new attacks and provide robust defense mechanisms to defend the systems, networks, web applications and people.I promise you that the course is practical and comprehensive guide and answers the number of questions.  See yourself in the course!
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 23
    • duration 5:24:06
    • Release Date 2024/05/18