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Record W3002046057 · doi:10.34218/ijcet.10.2.2019.018

A NEW PARADIGM OF SECURITY MODEL FOR TREASURY INFORMATION SYSTEM -- E-GOVERNANCE

2019· article· en· W3002046057 on OpenAlex
R. Siva Rama Prasad, GURRAM VEERA RAGHAVAIAH

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueINTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY · 2019
Typearticle
Languageen
FieldComputer Science
TopicCloud Data Security Solutions
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsTreasuryInformation securityCorporate governanceBusinessComputer securityInformation governanceComputer scienceInformation systemKnowledge managementPolitical scienceFinanceManagement information systems

Abstract

fetched live from OpenAlex

The world of Computing has been completing 80 years in applying scientific methodologies to understand basic principles of Emerging Technologies. In recent times, IT has great influence on how different Indian Government Departments operate. Security is one of the most important issues in E-governance projects. Egovernance applications will be increasingly used by the citizens of many countries to access a set of government services. Currently, the use of the E-government applications arises many challenges; one of these challenges is the security issues. E-government applications security is a very important characteristic that should be taken into account. This paper analyses about new secured model developed for Treasury Information System by using Quantum Key Distribution based verifiable and traceable cipher text attributes based encryption (QKD-VTCP ABE) algorithm that support an integrated internet-based E-governance applications.

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 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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.779
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
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 head0.006
GPT teacher head0.211
Teacher spread0.205 · 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