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May 06, 2024
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NET 573 - Intrusion Detection
Last Date of Approval: Fall 2022
3 Credits
Total Lecture Hours: 30
Total Lab Hours: 30
Total Clinical Hours: 0
Total Work-Based Experience Hours: 0
Course Description:
This course provides students the opportunity to learn analysis and understand attacks on computer networks. Topics include attacks and attack analysis, intrusion detection and analysis, and advanced defense countermeasure configuration using firewalls, routers, and intrusion detection systems. This course will help students refine their critical thinking skills as they evaluate various technology topics and concepts while searching for underlying connections between the technology and how to apply those concepts in a lab setting, which is a skill that should be beneficial in any/all types of technology careers. This course will also help students gain hands-on technology literacy which will be of vital significance when making important work-related decisions.
Prerequisites: NET 563 , NET 728
Mode(s) of Instruction: traditional/face-to-face, virtual, and/or online
Credit for Prior Learning: This course offers an opportunity for students to earn Credit for Prior Learning for skills that they have brought with them to Iowa Central. For more information, please ask the instructor and see the Iowa Central Community College catalog.
Course Fees: Face-to-Face: None; Online: 8-week online students will have a per credit hour e-book fee automatically charged to their account.
Common Course Assessment(s): None
Student Learning Outcomes and Objectives:
Student Learning Outcomes:
1. Differentiate between host-based and network-based IDS solutions;
2. Setup and administer an IDS/IPS in a working network;
3. Dissect and analyze various types of normal and unusual traffic;
4. Identify false positives and false negatives; and
5. Demonstrate appropriate and ethical behavior and good work habits
Objectives:
1. Network- and Host-Based IDS/IPS Solutions
2. Fundamentals of Traffic Analysis
3. Advanced Traffic Analysis
4. Working with Filters/Rules for Network Monitoring
5. Introduction to Network Security Monitoring
6. Analyzing and Deconstructing Attack Signatures
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