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Malware Forensics V3:Ai &Chatgpt Mastery In Malware Analysis

Posted By: ELK1nG
Malware Forensics V3:Ai &Chatgpt Mastery In Malware Analysis

Malware Forensics V3:Ai &Chatgpt Mastery In Malware Analysis
Published 1/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.30 GB | Duration: 6h 40m

Navigating Next-Gen Malware Analysis with AI and ChatGPT Techniques

What you'll learn

Malware Forensics

Malware Analysis, Intrusion and Prediction

Digital Forensics

Static Malware Analysis

Cloud-Based Malware Analysis

Malware Forensics using AI

Static Malware Analysis with AI

Reverse Engineering using AI

Assembly analysis using ChatGPT

Malware Analysis with ChatGPT

Malware Decoding

Malware Evasion Analysis

Encrypted Malware Analysis

Dynamic Malware Analysis

Memory Forensics

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 world of malware forensics with our comprehensive course, "Malware Forensics v3: AI & ChatGPT Mastery in Malware Analysis". This course is meticulously designed to provide an in-depth understanding of modern malware analysis techniques, blending AI advancements and ChatGPT's prowess with traditional forensic methods.Chapter 1 sets the foundation, focusing on multi-stage malware analysis. Explore the balance between AI and conventional methods, delve into the mechanics of correlation analysis, and gain hands-on experience with heatmap visualizations to understand feature correlations in malware.Chapter 2 advances into predictive analytics, teaching you to anticipate malware threats using time series modeling and ARIMA. You'll learn not just to react to malware, but to predict and prepare for future threats, solidifying your knowledge through advanced analytical labs.Chapter 3 introduces AI-driven behavioral analysis and explainable AI, covering AI-powered behavioral profiling and practical implementation with Random Forest classifiers. This chapter demystifies AI in malware analysis, ensuring that you can not only use AI effectively but also understand and explain your models.In Chapter 4, we delve into clustering techniques for malware variant discovery. Unpack unsupervised clustering methods, optimal clustering sizes, and feature engineering through practical labs, enhancing your skills in identifying and analyzing malware variants.Chapter 5 explores dynamic malware and memory analysis, integrating AI for breakthroughs in this area. It covers everything from the basics of dynamic malware analysis to advanced topics like LSTM neural networks and deep learning techniques for memory dump analysis.Chapter 6 zeroes in on ransomware, offering a comprehensive analysis and advanced prediction techniques using AI. From understanding the lifecycle of ransomware to deploying deep learning for behavior prediction and classification, this chapter equips you with the tools to tackle one of the most formidable threats in cybersecurity today.Throughout this course, you'll gain not just theoretical knowledge, but also practical skills through various labs and hands-on sessions, preparing you to face the evolving landscape of cyber threats with confidence and expertise.There will also be the inclusion of :Lifetime Access to The CourseQuick and Friendly Support in the Q&A sectionUdemy Certificate of Completion Enroll now and become a cybersecurity expert with the power of AI on your side!See you in the "Malware Forensics v3: AI &ChatGPT Mastery in Malware Analysis." course!With this course you'll surely get 24/7 support. Please feel free to post your questions in the Q&A section and we'll definitely respond to you within 14 hours.

Overview

Section 1: Advanced Multi-Stage Malware Analysis: AI Synergy and Correlation Insights

Lecture 1 Balancing AI and Traditional Methods for Comprehensive Malware Analysis

Lecture 2 Unveiling the Mechanics of Correlation Analysis in Multi-Stage Malware Detection

Lecture 3 Lab: Visualizing Feature Correlations in Malware Analysis Using Heatmaps

Section 2: Forecasting Malware Threats: Predictive Analytics and Time Series Modeling

Lecture 4 Decoding Tomorrow's Malware : Advanced Forecasting Methods

Lecture 5 Beyond Real-Time: Predicting Malware Threats Before They Happen

Lecture 6 Lab: Implementing Advanced Analytics TSA for Predicting Future Malware Threats

Section 3: Advancing Malware Detection:AI-Driven Behavior Analysis and Model Explainability

Lecture 7 AI-Powered Behavioral Profiling in Malware Analysis

Lecture 8 Lab: Implementing Malware Behavior Profiling with RF

Lecture 9 Demystifying AI in Malware Analysis: Explainable AI

Lecture 10 Lab: SHAP-based Explainability in Malware Detection with RF

Section 4: In-Depth Clustering Techniques for Malware variant Discovery & Analysis

Lecture 11 Identification and Analysis of Malware Variants through Unsupervised Clustering

Lecture 12 Determining Optimal Clustering Size for Effective Malware Variant Detection

Lecture 13 Lab : Implementing Clustering Technique&Feature Engg in Malware Variant Analysis

Section 5: Harnessing AI for Breakthroughs in Dynamic Malware and Memory Analysis

Lecture 14 Introduction to Dynamic malware analysis

Lecture 15 Key Features for Dynamic Memory Analysis

Lecture 16 Lab: Advanced Malware Analysis - Dynamic Techniques with Process Hacker

Lecture 17 Dynamic Malware Analysis: Challenges, Solutions, and the Road Ahead

Lecture 18 Key Features for Effective Memory Analysis

Lecture 19 Lab: Unraveling Malware Mysteries in Memory with Volatility

Lecture 20 Decoding and Analyzing Memory Dumps Using Deep Learning Techniques

Lecture 21 Harnessing the Power of AI in Dynamic Malware Analysis

Lecture 22 Lab: Deep Neural Networks for Effective and Efficient Malware Detection&Analysis

Section 6: Deciphering Ransomware with AI: Comprehensive Analysis and Advanced Prediction

Lecture 23 Decoding the Ransomware Lifecycle: From Initial Infiltration to Encryption

Lecture 24 Lab: Ransomware Analysis and Dissection

Lecture 25 Advanced Predictive Techniques: Utilizing Deep Learning for Ransomware Analysis

Lecture 26 Lab:Advanced Ransomware Behavior Prediction & Classification with Deep Learning

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