Evidence map›Paper›PMID 39609493›Full record

ArticleScientific reports2024

An efficient image encryption algorithm using 3D-cyclic chebyshev map and elliptic curve.

Shamsa Kanwal, Saba Inam, Shaha Al-Otaibi, Javaria Akbar, Nasir Siddiqui, Muhammad Ashiq

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shamsa KanwalDepartment of Mathematical Sciences, Fatima Jinnah Women University, Rawalpindi, Pakistan. shamsa.kanwal@fjwu.edu.pk.
Saba InamDepartment of Mathematical Sciences, Fatima Jinnah Women University, Rawalpindi, Pakistan.
Shaha Al-OtaibiDepartment of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P. O. Box 84428, Riyadh, 11671, Saudi Arabia.
Javaria AkbarDepartment of Mathematical Sciences, University of Engineering and Technology, Taxila, Pakistan.
Nasir SiddiquiDepartment of Mathematical Sciences, University of Engineering and Technology, Taxila, Pakistan.
Muhammad AshiqDepartment of Humanities and Basic Sciences, MCS Campus, National University of Sciences and Technology, Islamabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the development of internet technologies, it is now usual to communicate enormous amounts of text and visual data over networks, which calls for stringent procedures to guarantee confidentiality and integrity throughout transmission. An important part of safeguarding image communication over secure channel is cryptography. This study proposes an effective way to secure sensitive data by creating tamper-proof cryptosystems and authentication mechanisms. By employing elliptic curve cryptography (ECC) to generate secret encryption key and chaotic maps to successfully disguise and alter plain image pixel values, the technique strengthens overall system security through the use of hybrid cryptography. The method has a big enough key space to withstand brute-force attempts and exhibits robustness against statistical and differential attacks through analysis including evaluations and assessments of correlation, entropy, and histograms as well as evaluations such as NPCR, UACI, PSNR and keyspace analysis validate the efficacy of the proposed image encryption algorithm, affirming its systematic and robust nature and its capacity to offer superior image encryption protection over some existing ones.

Indexed as

Chaotic mapsCorrelationElliptic curve cryptographyEntropyImage encryptionUnified average changing intensity

Identifiers

PMID39609493
PMCPMC11605050

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.