Developing “Capture the Flag” for 5G IoT Cyber Security Training
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Fifth Generation cellular data systems (5G) are critical infrastructure that deliver IoT, mobile, and broadband services. They have high security demands and complex architectures. Despite the importance of these systems, there is relatively little hands-on training available for 5G engineers and security practitioners. To address this gap, this paper explores the development and implementation of a 5 G network training environment in the form of a Capture the Flag game, wherein teams compete to solve 5G hacking challenges on virtual 5G infrastructure. Our system includes open sourc 5G components, an open source Capture the Flag game engine, and a new game mechanism to facilitate packet-injection challenges against both external and internal interfaces of the 5G system. We outline the design of the system and present progress towards developing 5 G challenges aligned to the MITRE FiGHT threat framework.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it