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Record W3047224464

IMPLEMENTASI ALGORITMA KRIPTOGRAFI MODULAR MULTIPLICATION – BASED BLOCK CIPHER (MMB) PADA KEAMANAN DATA

2020· article· id· W3047224464 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.

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

Bibliographic record

Venuenot available
Typearticle
Languageid
FieldComputer Science
TopicComputer Science and Engineering
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsComputer scienceOperating system
DOInot available

Abstract

fetched live from OpenAlex

Dalam kehidupan sehari – hari manusia banyak bergantung pada teknologi informasi. Maka mulai bermunculan berbagai media untuk mengakses informasi dan mengelola informasi sehingga banyak kemudahan-kemudahan yang kemudian didapat untuk mengakses suatu informasi. masalah keamanan informasi menjadi hal yang sangat penting dalam suatu sistem informasi untuk keamanan bersama maupun keamanan pribadi. Untuk itu diperlukan suatu sistem keamanan yang dapat melindungi suatu informasi untuk pengamanan data untuk mengantisipasi ancaman tersebut seperti teknik kriptografi. Kriptografi metode Modular Multiplication Based Block Cipher (MMB) dapat digunakan untuk menjaga keamanan pesan saat pesan dikirim dari suatu tempat ke tempat yang lain. Program aplikasi yang telah dibangun hanya mengenkripsi plaintext dengan format doc, txt, xls, ppt. Penelitian ini menghasilkan suatu program untuk mengamankan pesan rahasia berbentuk file. File yang dienkrip dapat diungkapkan kembali sama persis dengan file aslinya dan tidak mengalami perubahan isi file sedikit pun.

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 categoriesMeta-epidemiology (narrow), Open science
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 score0.812
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0060.003
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 head0.066
GPT teacher head0.270
Teacher spread0.204 · 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

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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