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Advanced Malware and Network Anomaly Detection · LearnSpace
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courseraIT и технологии

Advanced Malware and Network Anomaly Detection

Курс от Johns Hopkins University
Средний≈ 11.8 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

The course "Advanced Malware and Network Anomaly Detection" equips learners with essential skills to combat advanced cybersecurity threats using artificial intelligence. This course takes a hands-on approach, guiding students through the intricacies of malware detection and network anomaly identification. In the first two modules, you will gain foundational knowledge about various types of malware and advanced detection techniques, including supervised and unsupervised learning methods. The subsequent modules shift focus to network security, where you’ll explore anomaly detection algorithms and their application using real-world botnet data. What sets this course apart is its emphasis on practical, project-based learning. By applying your knowledge through hands-on implementations and collaborative presentations, you will develop a robust skill set that is highly relevant in today’s cybersecurity landscape. Completing this course will prepare you to effectively identify and mitigate threats, making you a valuable asset in any cybersecurity role. With the rapid evolution of cyber threats, this course ensures you stay ahead by leveraging the power of AI for robust cybersecurity measures.

Навыки, которые вы освоите

Anomaly DetectionMachine Learning MethodsMalware ProtectionNetwork AnalysisThreat DetectionNetwork SecurityAI SecurityModel EvaluationClassification AlgorithmsMicrosoft WindowsCybersecurity

Программа курса

4 модулей · 29 учебных материалов

01Course Introduction2 материалов
Course Overview Чтение Instructor Biography - Lanier WatkinsЧтение
02Malware Threats Detection Part 18 материалов

Introduction to Malware Threat Detection Using AI

Malware Threat Detection with AIВидео

Учитесь у экспертов

Lanier Watkins

Преподаватель курса

Advanced Malware and Network Anomaly Detection
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Обучение на Coursera

≈ 11.8 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Узбекский, Итальянский, Корейский, Немецкий, Индонезийский, Испанский, Японский, Казахский

Часть программы вашего университета
Reading ReferencesЧтение
Introduction to Malware Threat Detection Using AIЗадание

Basic Malware Analysis for Windows Operating Systems

Malware Analysis for Windows OSВидеоReading ReferencesЧтениеBasic Malware Analysis for Windows Operating SystemsЗадание

Module-end Assessments

Self-Reflective Reading: Analyzing PE Files- Insights and ReflectionsЧтениеMalware Threats Detection Part 1Задание
03Malware Threats Detection Part 29 материалов

Advanced Malware Detection with Clustering and Decision Trees

Malware Threat Detection with Clustering and Decision TreesВидеоReading ReferencesЧтениеAdvanced Malware Detection with Clustering and Decision TreesЗадание

Techniques for Metamorphic Malware Detection

Metamorphic Malware DetectionВидеоReading ReferencesЧтениеTechniques for Metamorphic Malware DetectionЗадание

Module-end Assessments

Self-Reflective Reading: Deep Dive into AI and Malware DetectionЧтениеPractice Lab: SMS Spam Collection Using Naïve Bayes Spam FilterЛабораторнаяMalware Threats Detection Part 2Задание
04Network Anomaly Detection with AI10 материалов

Introduction to Network Anomaly Detection

Network Anomaly DetectionВидеоReading ReferencesЧтение Introduction to Network Anomaly DetectionЗадание

Anomaly Detection with Botnet Data: A Case Study

Anomaly Detection: Botnet Case StudyВидеоReading ReferencesЧтениеOptional ReadingЧтениеAnomaly Detection with Botnet Data: A Case StudyЗадание

Module-end Assessments

Self-Reflective Reading: Unveiling the Essentials of Network Anomaly Detection with AIЧтениеPractice Lab: Building & Training an HMM for Metamorphic Malware DetectionЛабораторнаяNetwork Anomaly Detection with AIЗадание