A Hybrid MOPNA-SPM Algorithm for Secure Digital Information Embedding in Enterprise Data Protection.
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| Title: | A Hybrid MOPNA-SPM Algorithm for Secure Digital Information Embedding in Enterprise Data Protection. |
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| Authors: | RAN, Qiu1 sweety3655@126.com, ZHU, Hongyan1 Zxiaoxiao068@126.com |
| Source: | Technical Gazette / Tehnički Vjesnik. 2026, Vol. 33 Issue 3, p1010-1020. 11p. |
| Subjects: | Data protection, Data security, Digital watermarking, Algorithms |
| Abstract: | With the acceleration of enterprise digital transformation, the risk of sensitive data leakage has significantly increased. Traditional Digital Information Embedding (DIE) techniques suffer from critical limitations: limited embedding capacity, insufficient concealment (prone to visual distortion), weak robustness against attacks (e.g., noise and compression), and high computational complexity, failing to meet enterprises' demands for secure and large-scale sensitive data hiding. To address these issues, this study proposes a novel hybrid algorithm that integrates the Modulus Calculations on Prime Number Algorithm (MOPNA) and Single Pixel Modification (SPM) algorithm, which is an innovative combination that leverages MOPNA's pixel grouping strategy (dividing carriers into dual-pixel groups) and modular operation optimization based on prime weight, along with SPM's "high capacity-low distortion" single-pixel adjustment advantage. Based on this hybrid algorithm, a DIE model integrated with a Security and Authentication Module (SAM) is constructed to enhance data security during transmission and storage. The core contribution of this research lies in developing a DIE model with higher embedding capacity and stronger robustness than traditional methods. The practical application in an architectural design enterprise shows that the model achieves an embedding capacity of 3.51 bpp (36.58% higher than the SPM and 100.57% higher than the INFO algorithm), a Peak Signal-to-Noise Ratio (PSNR) of 48.25 dB, and a Structural Similarity (SSIM) of 0.98, ensuring near-lossless visual concealment. In terms of security, its anti-noise recovery rate reaches 95.50%, the anticompression attack recovery rate is 90.25%, and the average information extraction time is only 0.45 s per image (62.50% faster than the SPM). This model provides a new technical solution for secure transmission and storage of enterprise sensitive information, with important reference value for data protection in other fields. [ABSTRACT FROM AUTHOR] |
| Copyright of Technical Gazette / Tehnički Vjesnik is the property of Tehnicki Vjesnik and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 195131788 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Hybrid MOPNA-SPM Algorithm for Secure Digital Information Embedding in Enterprise Data Protection. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22RAN%2C+Qiu%22">RAN, Qiu</searchLink><relatesTo>1</relatesTo><i> sweety3655@126.com</i><br /><searchLink fieldCode="AR" term="%22ZHU%2C+Hongyan%22">ZHU, Hongyan</searchLink><relatesTo>1</relatesTo><i> Zxiaoxiao068@126.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Technical+Gazette+%2F+Tehnički+Vjesnik%22">Technical Gazette / Tehnički Vjesnik</searchLink>. 2026, Vol. 33 Issue 3, p1010-1020. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Data+protection%22">Data protection</searchLink><br /><searchLink fieldCode="DE" term="%22Data+security%22">Data security</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+watermarking%22">Digital watermarking</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: With the acceleration of enterprise digital transformation, the risk of sensitive data leakage has significantly increased. Traditional Digital Information Embedding (DIE) techniques suffer from critical limitations: limited embedding capacity, insufficient concealment (prone to visual distortion), weak robustness against attacks (e.g., noise and compression), and high computational complexity, failing to meet enterprises' demands for secure and large-scale sensitive data hiding. To address these issues, this study proposes a novel hybrid algorithm that integrates the Modulus Calculations on Prime Number Algorithm (MOPNA) and Single Pixel Modification (SPM) algorithm, which is an innovative combination that leverages MOPNA's pixel grouping strategy (dividing carriers into dual-pixel groups) and modular operation optimization based on prime weight, along with SPM's "high capacity-low distortion" single-pixel adjustment advantage. Based on this hybrid algorithm, a DIE model integrated with a Security and Authentication Module (SAM) is constructed to enhance data security during transmission and storage. The core contribution of this research lies in developing a DIE model with higher embedding capacity and stronger robustness than traditional methods. The practical application in an architectural design enterprise shows that the model achieves an embedding capacity of 3.51 bpp (36.58% higher than the SPM and 100.57% higher than the INFO algorithm), a Peak Signal-to-Noise Ratio (PSNR) of 48.25 dB, and a Structural Similarity (SSIM) of 0.98, ensuring near-lossless visual concealment. In terms of security, its anti-noise recovery rate reaches 95.50%, the anticompression attack recovery rate is 90.25%, and the average information extraction time is only 0.45 s per image (62.50% faster than the SPM). This model provides a new technical solution for secure transmission and storage of enterprise sensitive information, with important reference value for data protection in other fields. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Technical Gazette / Tehnički Vjesnik is the property of Tehnicki Vjesnik and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.17559/TV-20250510002656 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1010 Subjects: – SubjectFull: Data protection Type: general – SubjectFull: Data security Type: general – SubjectFull: Digital watermarking Type: general – SubjectFull: Algorithms Type: general Titles: – TitleFull: A Hybrid MOPNA-SPM Algorithm for Secure Digital Information Embedding in Enterprise Data Protection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: RAN, Qiu – PersonEntity: Name: NameFull: ZHU, Hongyan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13303651 Numbering: – Type: volume Value: 33 – Type: issue Value: 3 Titles: – TitleFull: Technical Gazette / Tehnički Vjesnik Type: main |
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