Enhancing Sensing and Imaging Capabilities Through Surface Plasmon Resonance for Deepfake Image Detection.
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| Title: | Enhancing Sensing and Imaging Capabilities Through Surface Plasmon Resonance for Deepfake Image Detection. |
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| Authors: | Maheshwari, R. Uma1 (AUTHOR) umamaheshwari@hit.edu.in, B.Paulchamy2 (AUTHOR) luckshanthpaul@gmail.com, Pandey, Binay Kumar3 (AUTHOR) binaydece@gmail.com, Pandey, Digvijay4 (AUTHOR) digit11011989@gmail.com |
| Source: | Plasmonics. May2025, Vol. 20 Issue 5, p2945-2964. 20p. |
| Subjects: | Surface plasmon resonance, Optical engineering, Gold nanoparticles, Spectroscopic imaging, Artificial intelligence, Plasmonics |
| Abstract: | Plasmonic nanomaterials have revolutionized sensing and imaging technologies due to their unique optical properties, particularly surface plasmon resonance (SPR). These materials offer enhanced sensitivity and resolution, making them promising candidates for applications in deepfake image detection, where accurate authentication of digital content is crucial. This work presents the application of plasmonic nanomaterials in enhancing sensing and imaging capabilities for deepfake detection. Gold nanoparticles functionalized with specific ligands are employed to exploit SPR effects, enabling sensitive detection of minute alterations in image content. A spectroscopic setup is utilized to measure the SPR shifts corresponding to changes induced by deepfake manipulations. Experimental results demonstrate that the SPR-based sensing approach achieves a detection accuracy of over 95% in distinguishing deepfake images from authentic ones. The SPR sensor exhibits a high signal-to-noise ratio, providing robust performance even in complex imaging scenarios with varying lighting conditions and image resolutions. Plasmonic nanomaterials, leveraging SPR, offer a reliable method for enhancing deepfake image detection capabilities. The demonstrated high accuracy and sensitivity underscore their potential in combating digital media forgery, contributing to the development of more secure and trustworthy authentication systems for visual content. [ABSTRACT FROM AUTHOR] |
| Copyright of Plasmonics is the property of Springer Nature 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: 184953376 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Enhancing Sensing and Imaging Capabilities Through Surface Plasmon Resonance for Deepfake Image Detection. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Maheshwari%2C+R%2E+Uma%22">Maheshwari, R. Uma</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> umamaheshwari@hit.edu.in</i><br /><searchLink fieldCode="AR" term="%22B%2EPaulchamy%22">B.Paulchamy</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> luckshanthpaul@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Pandey%2C+Binay+Kumar%22">Pandey, Binay Kumar</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> binaydece@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Pandey%2C+Digvijay%22">Pandey, Digvijay</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> digit11011989@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Plasmonics%22">Plasmonics</searchLink>. May2025, Vol. 20 Issue 5, p2945-2964. 20p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Surface+plasmon+resonance%22">Surface plasmon resonance</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+engineering%22">Optical engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Gold+nanoparticles%22">Gold nanoparticles</searchLink><br /><searchLink fieldCode="DE" term="%22Spectroscopic+imaging%22">Spectroscopic imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Plasmonics%22">Plasmonics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Plasmonic nanomaterials have revolutionized sensing and imaging technologies due to their unique optical properties, particularly surface plasmon resonance (SPR). These materials offer enhanced sensitivity and resolution, making them promising candidates for applications in deepfake image detection, where accurate authentication of digital content is crucial. This work presents the application of plasmonic nanomaterials in enhancing sensing and imaging capabilities for deepfake detection. Gold nanoparticles functionalized with specific ligands are employed to exploit SPR effects, enabling sensitive detection of minute alterations in image content. A spectroscopic setup is utilized to measure the SPR shifts corresponding to changes induced by deepfake manipulations. Experimental results demonstrate that the SPR-based sensing approach achieves a detection accuracy of over 95% in distinguishing deepfake images from authentic ones. The SPR sensor exhibits a high signal-to-noise ratio, providing robust performance even in complex imaging scenarios with varying lighting conditions and image resolutions. Plasmonic nanomaterials, leveraging SPR, offer a reliable method for enhancing deepfake image detection capabilities. The demonstrated high accuracy and sensitivity underscore their potential in combating digital media forgery, contributing to the development of more secure and trustworthy authentication systems for visual content. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Plasmonics is the property of Springer Nature 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: 10.1007/s11468-024-02492-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 2945 Subjects: – SubjectFull: Surface plasmon resonance Type: general – SubjectFull: Optical engineering Type: general – SubjectFull: Gold nanoparticles Type: general – SubjectFull: Spectroscopic imaging Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Plasmonics Type: general Titles: – TitleFull: Enhancing Sensing and Imaging Capabilities Through Surface Plasmon Resonance for Deepfake Image Detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Maheshwari, R. Uma – PersonEntity: Name: NameFull: B.Paulchamy – PersonEntity: Name: NameFull: Pandey, Binay Kumar – PersonEntity: Name: NameFull: Pandey, Digvijay IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 15571955 Numbering: – Type: volume Value: 20 – Type: issue Value: 5 Titles: – TitleFull: Plasmonics Type: main |
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