Best Fit Method of Sample Selection in Data Hiding and Extraction

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Virendra P Nikam
Virendra P Nikam
2
Dr. Shital S. Dhande
Dr. Shital S. Dhande

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GJCST Volume 22 Issue E2

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The objective of our study was to evaluate, in a population of Togolese People Living With HIV(PLWHIV), the agreement between three scores derived from the general population namely the Framingham score, the Systematic Coronary Risk Evaluation (SCORE), the evaluation of the cardiovascular risk (CVR) according to the World Health Organization.
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Today data security and its transmission over the wireless network need special attention. Intruder always has a watch on sensitive data transmitted over a wireless network. This work proposes an approach that minimizes the quantization error between the original and result carrier by selecting optimize samples during Data Hiding. Propose work find out best matching carrier components during the data hiding process. Results also imply that achieved results are far better than any other steganographic method.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

Virendra P Nikam. 2026. \u201cBest Fit Method of Sample Selection in Data Hiding and Extraction\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 22 (GJCST Volume 22 Issue E2): .

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Accurate method for data hiding and extraction in steganography. Ensures secure communication and high data integrity.
Issue Cover
GJCST Volume 22 Issue E2
Pg. 21- 28
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-E Classification: D.2.11
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v1.2

Issue date

July 18, 2022

Language

English

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Best Fit Method of Sample Selection in Data Hiding and Extraction

Virendra P Nikam
Virendra P Nikam
Dr. Shital S. Dhande
Dr. Shital S. Dhande

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