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所在平台: Udemy |
课程主页: https://www.udemy.com/course/malware-forensics-v4ai-chatgpt-mastery-in-malware-analysis/
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课程名称：恶意软件取证 v4：人工智能与 ChatGPT 在恶意软件分析中的掌握 课程概述：“恶意软件取证 v4：人工智能与 ChatGPT 在恶意软件分析中的掌握”是一门高级课程，专门设计用于应对日益复杂的恶意软件威胁，结合了人工智能（AI）、深度学习（DL）和 ChatGPT 的开创性能力。该课程旨在为网络安全专业人员提供必要的最新知识和实用技能，以解码、分析和有效应对多种现代恶意软件威胁。 课程内容： 第一章：无文件恶意软件的高级检测 - 将内存取证与 AI 和 DL 整合 深入了解无文件恶意软件的检测，掌握创建用于内存检测的实时数据集，探讨 AI 驱动的恶意软件分析算法，并通过实验室实践开发针对无文件恶意软件的自动化深度学习策略。 第二章：隐蔽恶意软件的高级检测 - 利用内存取证与深度学习 了解如何通过内存取证和深度学习的结合力量揭示混淆的恶意软件。学习在实践实验室环境中实施前沿的深度学习方法检测隐蔽威胁。 第三章：恶意软件防御的现代化 - 自动化平台和沙盒解决方案 借助自动化平台和沙盒解决方案，现代化恶意软件防御的方法。探索恶意软件沙盒平台如何增强企业安全，以及如何在系统架构中集成无文件恶意软件检测。 第四章：恶意软件动态的高级分析 - 解码和分析变形恶意软件 与变形恶意软件的动态互动，利用高级检测技术，运用序列到序列模型和图神经网络（GNNs）。通过 CFG 反向工程进行恶意软件分类，并在我们的专业实验室中进行实践应用。 第五章：驱动恶意软件可执行文件分析的 AI 探索针对行为和可执行恶意软件的统一 AI 检测策略。获取实际经验，以检测可执行文件中的恶意软件，充分利用 AI 的力量。 第六章：利用 ChatGPT 的创新恶意软件分析 - 策略与技术 利用 ChatGPT 的多元化方法进行恶意软件行为分析。在工作流程中整合 ChatGPT，并通过互动实验室进行深入的恶意软件代码行为分析。 该课程融合了理论与实践经验，非常适合希望在恶意软件取证领域处于前沿的网络安全专家。欢迎加入我们，提升您的专业技能，在网络安全领域始终保持领先。
"Malware Forensics v4: AI & ChatGPT Mastery in Malware Analysis" is an advanced course meticulously designed to tackle the evolving menace of sophisticated malware through the lens of artificial intelligence (AI), deep learning (DL), and the groundbreaking capabilities of ChatGPT. This course is structured to arm cybersecurity professionals with the latest knowledge and practical skills required to decode, analyze, and effectively counteract an array of modern malware threats.Chapter 1: Advanced Detection of Fileless Malware - Integrating Memory Forensics with AI & DLDelve into the intricate world of Fileless malware detection, where AI and DL converge with memory forensics. Master the creation of real-time datasets for in-memory detection and explore algorithmic approaches for AI-driven malware analysis. Engage in a lab that develops automated deep learning strategies targeting elusive Fileless malware.Chapter 2: Advanced Detection of Stealthy Malware - Leveraging Memory Forensics & Deep LearningUnderstand how to unmask obfuscated malware using the combined strength of memory forensics and deep learning. Learn to detect stealthy threats by implementing cutting-edge deep learning methodologies in a hands-on lab environment.Chapter 3:Modernizing Future of Malware Defense - Automated Platforms and Sandbox SolutionsModernize your approach to malware defense with automated platforms and sandbox solutions. Discover how malware sandbox platforms can enhance enterprise security and how Fileless malware detection can be integrated within system architectures.Chapter 4: Advanced Malware Dynamics - Decoding & Analyzing Metamorphic MalwareEngage with the dynamics of metamorphic malware, utilizing advanced detection techniques and applying sequence-to-sequence models and graph neural networks (GNNs). Dive into malware classification through reverse engineering for CFGs and experience practical application in our specialized lab.Chapter 5: AI-Driven Analysis of Malware ExecutablesExplore a unified AI detection strategy for behavioral and executable malware. Gain hands-on experience detecting malware within executable files, leveraging the power of AI.Chapter 6: Innovative Effective Malware Analysis with ChatGPT - Strategies & TechniquesCapitalize on the multifaceted approach of ChatGPT for malware behavioral analysis. Incorporate ChatGPT into your workflow and deploy it for in-depth malware code behavior analysis through an interactive lab session.This course offers an exceptional blend of theory and hands-on experience, perfect for cybersecurity experts aspiring to be at the forefront of malware forensics. Join us to refine your expertise and stay one step ahead in the cybersecurity domain.
