SOTER: A Playbook for Cybersecurity Incident Management
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
SOTER, <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> a cybersecurity incident management playbook, is developed to provide a comprehensive model to manage cybersecurity incidents, particularly for the cybersecurity operations center. The proposed playbook is adaptive, cross-sectorial, and process driven. Each key components of the incident management playbook are outlined and discussed. Furthermore, a lexicon based on equivalence mapping is developed and used to map existing cybersecurity incident vocabulary and taxonomy into a common and consistent lexicon to aid understanding among incident management stakeholder communities—national, government, and private sectors. A versatile workbook model has been explored, which proves to be adaptable to serve a wide range of cases for successfully managing government and private sector security operations center. Cybersecurity incident sharing partnership, formalism for metric and measurements of cybersecurity incident parameters, and cybersecurity incident classification and prioritization schemes are presented, and finally, cybersecurity incident “plays” and playbook templates are discussed.
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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 | 0.000 | 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