Abstract | ||
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Cyberspace odyssey (CSO) is a novel serious game supporting computer networking education by engaging students in a race to successfully perform various cybersecurity tasks in order to collect clues and solve a puzzle in virtual near-Earth three-dimensional space. Each team interacts with the game server through a dedicated client presenting a multimodal interface, using a game controller for navigation and various desktop computer networking
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">tools of the trade</italic>
for cybersecurity tasks on the game's physical network. Specifically, teams connect to wireless access points, use packet monitors to intercept network traffic, decrypt and reverse engineer that traffic, craft well-formed and meaningful responses, and transmit those responses. Successful completion of these physical network actions to solve a sequence of increasingly complex problems is necessary to progress through the virtual story-driven adventure. Use of the networking tools reinforces networking theory and offers hands-on practical training requisite for today's cyber operators. This article presents the learning outcomes targeted by a classroom intervention based on CSO, the design and implementation of the game, a pedagogical overview of the overall intervention, and four years of quantitative and qualitative data assessing its effectiveness. |
Year | DOI | Venue |
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2020 | 10.1109/TLT.2020.3008607 | IEEE Transactions on Learning Technologies |
Keywords | DocType | Volume |
Games,Training,Tools,Computer security,Computer science | Journal | 13 |
Issue | ISSN | Citations |
3 | 1939-1382 | 1 |
PageRank | References | Authors |
0.35 | 0 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kendra Graham | 1 | 1 | 0.35 |
James Anderson | 2 | 1 | 0.35 |
Conrad Rife | 3 | 1 | 0.35 |
Bryce Heitmeyer | 4 | 1 | 0.35 |
Pranav R. Patel | 5 | 1 | 0.35 |
Scott Nykl | 6 | 1 | 0.35 |
Alan C. Lin | 7 | 2 | 1.39 |
Laurence D. Merkle | 8 | 1 | 0.35 |