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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | Novel Quantum Optical Physical Unclonable Function with AI-Driven Stabilization for FPGA-based Authentication Systems |
| Authors Name: | Himani Choudhary , Gaurav Indra |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_203439
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| Published Paper Id: | IJRTI2505304 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | https://doi.org/10.56975/ijrti.v10i5.203439 |
| Abstract: | This paper introduces a novel, AI-stabilized Quantum Optical Physical Unclonable Function (QO-PUF) designed for secure hardware authentication on embedded platforms. The system exploits the complexity of coherent light scattering through a disordered TiO2-doped polymer medium to produce high-entropy, physically unclonable response patterns. To mitigate environmental sensitivity—such as thermal fluctuations, mechanical shifts, and optical misalignment—an 8-bit quantized convolutional neural network (CNN) is implemented entirely on a Xilinx Artix-7 FPGA. This CNN-based stabilization corrects distortions in real-time, reducing the bit error rate (BER) from 18% to below 2.1% under stress conditions. The architecture achieves rapid challenge-response evaluation in under 5 milliseconds, while consuming only 30% LUT, 18% BRAM, and 12% DSP, making it ideal for latency-constrained embedded security applications. Extensive testing across 50,000+ challenge-response pairs confirms high uniqueness, reproducibility, entropy (>0.995), and resilience against machine learning modelling attacks (<5% prediction accuracy). This work demonstrates the feasibility of scalable, self-correcting QO-PUFs for next-generation edge authentication systems and lays a foundation for secure, AI-enhanced photonic identity primitives. |
| Keywords: | Quantum Optical PUF, AI Stabilization, FPGA, Physical Unclonable Function, Hamming Distance, Embedded Security, Machine Learning, Entropy |
| Cite Article: | "Novel Quantum Optical Physical Unclonable Function with AI-Driven Stabilization for FPGA-based Authentication Systems", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.d24-d35, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505304.pdf |
| Downloads: | 000506 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2505304
Registration ID:203439
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i5.203439
Page No: d24-d35 Country: New Delhi, Delhi, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505304 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505304 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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