MétaCan
Menu
Back to cohort
Record W2030158020 · doi:10.1109/ccece.2009.5412193

Methods and safety standards of systems

2009· article· en· W2030158020 on OpenAlexaff
Tanik Beidjilali

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInformation and Cyber Security
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsCertificationRisk analysis (engineering)AuditVulnerability (computing)Computer securityComputer scienceInformation securityInformation security managementInformation systemRisk managementBusinessAccountingEngineeringSecurity information and event management

Abstract

fetched live from OpenAlex

The information is an essential resource in the daily activities of our socioeconomic life. The information is mainly collected, treated, protected and distributed in a digital format. This exposes it to the problems related to the use of information technologies and communication. The presence of vulnerability in a computer system can have an impact on the information security: loss, theft modification, forgery ... To prevent these situations, there are few methods of analysis of the security risks allowing to make a complete audit of the information system and to emit recommendations of correctives. On the other hand, safety standards were focusing to establish precise safety rules and give a certification to the systems which respect all these rules. However, the current methods of risk management try to help to estimate them, to implant appropriate controls, to be conforming to the regulations and to the laws of protection of the information and the private life, without being completely compatible with the current standards. This document aims to present, on the basis of certain criteria, the results of a study on various methods and safety standards of information systems, used in Europe and in North America.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.874
Threshold uncertainty score0.099

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.320
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

Same topicInformation and Cyber SecurityFrench-language works237,207