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WIZAPE
Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

Threat Detection in Wireless Networks
( 24 Modules )

Module #1
Introduction to Threat Detection in Wireless Networks
Overview of wireless network security threats and importance of threat detection
Module #2
Wireless Network Fundamentals
Basics of wireless networks, protocols, and architectures
Module #3
Threat Landscape in Wireless Networks
Types of wireless network threats, including rogue APs, evil twins, and man-in-the-middle attacks
Module #4
Threat Detection Fundamentals
Introduction to threat detection concepts, including anomaly detection, signature-based detection, and behavioral analysis
Module #5
Wireless Network Security Standards and Regulations
Overview of relevant security standards and regulations, including WPA2, WPA3, and PCI-DSS
Module #6
Wireless Network Threat Detection Tools and Techniques
Introduction to tools and techniques for threat detection in wireless networks, including Wireshark and Kali Linux
Module #7
Rogue AP Detection
Methods for detecting rogue access points in wireless networks, including RF fingerprinting and behavioral analysis
Module #8
Evil Twin Detection
Techniques for detecting evil twin attacks, including MAC address analysis and channel utilization monitoring
Module #9
Man-in-the-Middle Attack Detection
Methods for detecting man-in-the-middle attacks, including encryption analysis and traffic pattern monitoring
Module #10
Denial of Service (DoS) Attack Detection
Techniques for detecting DoS attacks, including traffic pattern analysis and protocol anomaly detection
Module #11
Wireless Network Anomaly Detection
Methods for detecting anomalies in wireless network traffic, including statistical analysis and machine learning-based approaches
Module #12
Behavioral Analysis for Threat Detection
Using behavioral analysis to detect threats in wireless networks, including user behavior profiling and device fingerprinting
Module #13
Signature-Based Threat Detection
Using signature-based detection to identify known threats in wireless networks, including pattern matching and rule-based systems
Module #14
Artificial Intelligence and Machine Learning for Threat Detection
Applications of AI and ML in threat detection, including predictive modeling and anomaly detection
Module #15
Wireless Network Forensics and Incident Response
Best practices for wireless network forensics and incident response, including evidence collection and analysis
Module #16
Threat Intelligence for Wireless Networks
Using threat intelligence to enhance wireless network security, including threat information sharing and vulnerability analysis
Module #17
Wireless Network Security Information and Event Management (SIEM)
Using SIEM systems to monitor and analyze wireless network security events
Module #18
Cloud-Based Wireless Network Threat Detection
Cloud-based solutions for wireless network threat detection, including cloud-delivered security and managed security services
Module #19
Wireless Network Threat Detection for IoT Devices
Special considerations for detecting threats in IoT devices, including device profiling and behavioral analysis
Module #20
5G and Wi-Fi 6 Threat Detection
New threats and challenges in 5G and Wi-Fi 6 networks, including increased attack surfaces and complex visibility
Module #21
Case Studies in Wireless Network Threat Detection
Real-world case studies of wireless network threat detection, including successful detection and response strategies
Module #22
Wireless Network Threat Detection Lab Exercises
Hands-on lab exercises for practicing wireless network threat detection techniques and tools
Module #23
Implementing a Wireless Network Threat Detection System
Best practices for implementing a wireless network threat detection system, including system design and deployment
Module #24
Course Wrap-Up & Conclusion
Planning next steps in Threat Detection in Wireless Networks career


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