CNIT 50: Network Security MonitoringSpring 2025 Sam Bowne
Schedule · Projects · Links · Grading |
Use TwitchTo attend class: https://twitch.tv/sambowne |
DescriptionLearn modern, powerful techniques to inspect and analyze network traffic, so you can quickly detect abuse and attacks and respond to them. This class covers the configuration and use of Splunk, the industry standard for network security monitoring. This class helps to prepare for Splunk Core Certified User certification. Course JustificationFirewalls and antivirus are not enough to protect modern computer networks--abuse and attacks are common and cannot be prevented. Instead, networks are now monitored to detect security incidents, and security teams respond to them to limit the harm they cause. This class prepares students for jobs in monitoring and incident response, providing skills that are in high demand. This course is part of the Advanced Cybersecurity Certificate. TextbookThere is no textbook for this class. QuizzesThe quizzes are multiple-choice, online, and open-book. However, you may not ask other people to help you during the quizzes. Each quiz is due 30 min. before class. Each quiz has 5 questions, you have ten minutes to take it, and you can make two attempts. If you take the quiz twice, the higher score counts. For class-related questions, please send messages inside Canvas or emailcnit.50sam@gmail.com |
Schedule | |||
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Date | Due | Topic | |
Sat 1-18 |
Modules 1-4
1 - What is Machine Data Demo: Mod 3-4 | ||
Thu 1-25 |
Quizzes 1-2, 3-4, 5, 6 Mod 3-5 Proj due |
Modules 5-6
5 - Basic Searching Demos: Mods 5, 6, & 8 and BoTS Part 1 | |
Sat 2-1 | Mod 6 & 8 Proj due |
Modules 7-9
7 - Best Practices | |
Sat 2-8 |
Quizzes 7-8, 9, 10, 11-12 Mod 9-10 Proj due |
Modules 10-11
10 - Reports and Dashboards | |
Sat 2-15 | Holiday -- No Class | ||
Sat 3-1 |
Quiz 13 Mod 11-12 Proj due |
Mod 13 Demo: BoTS Part 4 |
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Sat 3-8 |
LAST CLASS No new material |
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Sun 3-9 - Fri 3-14 |
Final Exam available online You can only take it once. | ||
* Quizzes due 30 min. before class |
Lectures | |
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Class materials (restricted access)
1 - What is Machine Data |
Projects | |
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Mod 3 & 4 (20 pts)
The projects below refer to the exercises in the
Mod 5 (10 pts)
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