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.
Advanced Malware and Network Anomaly Detection
Advanced Malware and Network Anomaly Detection
本课程是 AI for Cybersecurity 专项课程 的一部分
位教师：Lanier Watkins
2,014 人已注册
包含在 
中
您将学到什么
Understand various types of malware and apply foundational analysis techniques to effectively detect and classify them.
Implement advanced machine learning algorithms, including clustering and decision trees, for efficient malware detection.
Explore anomaly detection techniques using botnet data and learn how to analyze network traffic for unusual patterns.
Collaborate and present research findings on current trends in network anomaly detection, enhancing communication and analytical skills.
您将获得的技能
- Microsoft Windows
- Anomaly Detection
- Intrusion Detection and Prevention
- Continuous Monitoring
- Machine Learning Methods
- Machine Learning
- Machine Learning Algorithms
- Network Analysis
- Machine Learning Software
- Performance Testing
- System Design and Implementation
- Cybersecurity
- Supervised Learning
- Network Security
- Threat Detection
- Malware Protection
要了解的详细信息
可分享的证书
添加到您的领英档案
作业
9 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 AI for Cybersecurity 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有4个模块
This course provides a comprehensive exploration of malware detection and analysis, covering the identification and classification of malware types and their characteristics. Students will learn fundamental concepts of malware analysis, network threats, and detection methods while employing various tools and algorithms for effective detection and performance assessment.
涵盖的内容
2篇阅读材料
In this module, we will discuss common types of malware, malware analysis tools, and basic malware analysis processes. Specifically, we will be discussing basic approaches to analyzing Windows-based malware.
涵盖的内容
2个视频3篇阅读材料3个作业
In this module, we investigate hands-on malware detection implementations, both unsupervised and supervised. Also, we discuss metrics to evaluate the performance of malware detection algorithms.
涵盖的内容
2个视频3篇阅读材料3个作业1个非评分实验室
This module will discuss the background of network threats and anomaly detection. Also, we explore hands-on implementations of anomaly detection analytics using botnet data and the next evolution of anomaly detection, autonomic cybersecurity systems.
涵盖的内容
2个视频4篇阅读材料3个作业1个非评分实验室
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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