Using an isolated network laboratory to teach advanced networks and security

Author:

Hill John M. D.1,Carver Curtis A.1,Humphries Jeffrey W.1,Pooch Udo W.1

Affiliation:

1. Computer Science Department, Texas A&M University, College Station, TX

Abstract

This paper discusses the use of an isolated network laboratory to teach computer security using persistent cooperative groups and an active learning approach. Computer security and computer security education are areas of increasing importance as computer systems become more interconnected. When offered, undergraduate and graduate computer security courses are routinely taught using a traditional lecture format. If the course includes a class project, the class project is limited in scope and constitutes a relatively small portion of the student's grade. This paper examines a different approach in which the class project is the dominant factor in the student's grade. The students work in persistent cooperative teams as either a black or gold team. Black teams attempt to break into other black team computers or attack the gold team. The gold team operates Windows NT, LINUX, and Solaris-based servers and attempts to defend their servers and role-play system administrators. The entire exercise takes place in an isolated lab so as to separate student class activities from the rest of the departmental intranet. Four years of experience running the class with this format suggests that the use of persistent cooperative groups and active learning are effective approaches for teaching network security and are preferred over a lecture-based course.

Publisher

Association for Computing Machinery (ACM)

Reference11 articles.

Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Remote DasaLAB: datacenter as a laboratory for remote learning;Interactive Learning Environments;2024-01-31

2. Computer Science Graduation Project During Covid-19 Pandemic: Challenges and Solutions;INT J COMPUT SCI NET;2022

3. Teaching Offensive Lab Skills;Research Anthology on Advancements in Cybersecurity Education;2022

4. Eureka Labs: Enhancing Cybersecurity Education through Inquiry-based Hands-on Activities;2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI);2021-10

5. Revising Computer Science Networking Hands-On Courses in the Context of the Future Internet;IEEE Transactions on Education;2021-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3