Introducing a Cybersecurity Mindset into Software Engineering Undergraduate Courses
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
Cybersecurity is a growing problem globally. Software helps to drive and optimize businesses in every aspect of modern life. Software systems have been under continued attacks by malicious entities, and in some cases, the consequences have been catastrophic. In order to tackle this pervasive problem, emphasis has been placed on educating software developers on how to develop secure systems. The majority of attacks on software systems have been largely due to negligence, lack of education, or incorrect application of cybersecurity defenses. As a result, there is a movement to increase cybersecurity education at all levels: novice, intermediate and expert. At the college level, students can be exposed to cybersecurity skills and principles that will better equip them as they transition into the workforce. A case study is presented which assesses the cybersecurity knowledge of juniors and seniors in a software engineering degree program taught over a one-semester period.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 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