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Record W2789309808 · doi:10.5539/jpl.v11n1p28

Comparative Survey of Various Approaches of the Laws & Regulations in relation to Electronic Signatures & Security thereof

2018· article· en· W2789309808 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Politics and Law · 2018
Typearticle
Languageen
FieldComputer Science
TopicDiverse Research and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsElectronic signatureAcknowledgementCredibilityComputer securityStatuteDigital signatureRelation (database)Internet privacyComputer scienceSubject (documents)Process (computing)LawPolitical scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Signatures are a significant part of the legal, commercial and even artistic personality and credibility of individuals and their existence is essential for validating not only the most important international documents but even a simple greeting card. A signature on a document, is the most significant evidence for attributing its contents to the signatory, indicating the acknowledgement and acceptance of the contents of the document by the parties who signed it with their knowledge and consent. For this reason, security of this process is of utmost importance and entry of such process in the electronic and digital space, makes it twice as much important.Due to this, without existence of the necessary security infrastructures in the digital space, there is no possibility of providing electronic services, because without availability of the technologies required for validating and regulating the electronic documents, electronic signatures cannot be trusted.The requirement of legislation along with these technologies for providing this security, is one of the most effective factors for realization of this subject, since in other words, proper application and implementation of such technologies is subject to enactment of some statutes related to this issue.Therefore, in this research, considering the importance of the part of definitions, recognition of the title and its effect on the most careful study on approaches and differences of legal systems in this regard, we first review and describe the electronic signature in various legal systems. Subsequently, the paper progresses to explain different approaches of such systems towards the issue of security of the electronic signatures. After reviewing relevant laws in different countries including the United States, France and Iran, we designate an appropriate approach regarding the security issue in the electronic signature space.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.627
Threshold uncertainty score0.276

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 head0.075
GPT teacher head0.324
Teacher spread0.248 · 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