Algorithmization for calculating the security assessment of AIS operating systems of internal affairs bodies, developed on the basis of an analysis of security requirements GOST R ISO/IEC 15408 and possible threats
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
Objective . The article provides a generalized algorithmization of the processes necessary for developing software for assessing the security of operating systems of automated information systems of internal affairs bodies of the Russian Federation. Method . The research was carried out based on the method of analyzing possible threats to the security of operating systems, as well as the requirements of the GOST R ISO/IEC 15408 standard. Result . The result of the automated system for calculating the security indicator of the analyzed OS is one of the specified criteria for indicators of the degree of security of the OS. By comparing the obtained indicator, the corresponding result is output. Conclusion . The authors provide a generalized algorithmization of the processes necessary for developing software for assessing the security of the AIS OS of the Russian Federation ATS.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| 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