{"title":"用于先进深度伪造检测和实时媒体完整性分析的创新型分级指数pcf型SPR传感器","authors":"R. Uma Maheshwari, B. Paulchamy","doi":"10.1007/s11468-024-02696-5","DOIUrl":null,"url":null,"abstract":"<div><p>Deepfake content poses a significant challenge to cybersecurity and media integrity, exploiting advanced AI techniques to generate hyper-realistic yet deceptive visuals. Existing detection methods often lack scalability and precision, particularly in real-time applications. This study presents a novel graded-index photonic crystal fiber (GI-PCF)–based surface plasmon resonance (SPR) sensor, offering an innovative solution for advanced deepfake detection and media authentication. By integrating a graded-index core with nanostructured plasmonic layers, the sensor achieves superior light confinement, optimized refractive index sensitivity, and enhanced detection precision. Experimental results demonstrate key achievements, including a figure of merit (FOM) of 450 RIU<sup>−1</sup>, sensitivity of 12,500 nm/RIU, and detection accuracy of 98.7%. These advancements highlight the sensor’s capability to detect minute optical anomalies in tampered media, establishing a scalable and robust framework for real-time media verification and deepfake mitigation.</p></div>","PeriodicalId":736,"journal":{"name":"Plasmonics","volume":"20 5","pages":"2977 - 2996"},"PeriodicalIF":3.3000,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Innovative Graded-Index PCF–Based SPR Sensor for Advanced Deepfake Detection and Real-Time Media Integrity Analysis\",\"authors\":\"R. Uma Maheshwari, B. Paulchamy\",\"doi\":\"10.1007/s11468-024-02696-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Deepfake content poses a significant challenge to cybersecurity and media integrity, exploiting advanced AI techniques to generate hyper-realistic yet deceptive visuals. Existing detection methods often lack scalability and precision, particularly in real-time applications. This study presents a novel graded-index photonic crystal fiber (GI-PCF)–based surface plasmon resonance (SPR) sensor, offering an innovative solution for advanced deepfake detection and media authentication. By integrating a graded-index core with nanostructured plasmonic layers, the sensor achieves superior light confinement, optimized refractive index sensitivity, and enhanced detection precision. Experimental results demonstrate key achievements, including a figure of merit (FOM) of 450 RIU<sup>−1</sup>, sensitivity of 12,500 nm/RIU, and detection accuracy of 98.7%. These advancements highlight the sensor’s capability to detect minute optical anomalies in tampered media, establishing a scalable and robust framework for real-time media verification and deepfake mitigation.</p></div>\",\"PeriodicalId\":736,\"journal\":{\"name\":\"Plasmonics\",\"volume\":\"20 5\",\"pages\":\"2977 - 2996\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2024-12-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Plasmonics\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11468-024-02696-5\",\"RegionNum\":4,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plasmonics","FirstCategoryId":"101","ListUrlMain":"https://link.springer.com/article/10.1007/s11468-024-02696-5","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
Innovative Graded-Index PCF–Based SPR Sensor for Advanced Deepfake Detection and Real-Time Media Integrity Analysis
Deepfake content poses a significant challenge to cybersecurity and media integrity, exploiting advanced AI techniques to generate hyper-realistic yet deceptive visuals. Existing detection methods often lack scalability and precision, particularly in real-time applications. This study presents a novel graded-index photonic crystal fiber (GI-PCF)–based surface plasmon resonance (SPR) sensor, offering an innovative solution for advanced deepfake detection and media authentication. By integrating a graded-index core with nanostructured plasmonic layers, the sensor achieves superior light confinement, optimized refractive index sensitivity, and enhanced detection precision. Experimental results demonstrate key achievements, including a figure of merit (FOM) of 450 RIU−1, sensitivity of 12,500 nm/RIU, and detection accuracy of 98.7%. These advancements highlight the sensor’s capability to detect minute optical anomalies in tampered media, establishing a scalable and robust framework for real-time media verification and deepfake mitigation.
期刊介绍：
Plasmonics is an international forum for the publication of peer-reviewed leading-edge original articles that both advance and report our knowledge base and practice of the interactions of free-metal electrons, Plasmons.
Topics covered include notable advances in the theory, Physics, and applications of surface plasmons in metals, to the rapidly emerging areas of nanotechnology, biophotonics, sensing, biochemistry and medicine. Topics, including the theory, synthesis and optical properties of noble metal nanostructures, patterned surfaces or materials, continuous or grated surfaces, devices, or wires for their multifarious applications are particularly welcome. Typical applications might include but are not limited to, surface enhanced spectroscopic properties, such as Raman scattering or fluorescence, as well developments in techniques such as surface plasmon resonance and near-field scanning optical microscopy.
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