نهان‌کاوی سیگنال صوت کوانتومی با استفاده از الگوریتم ماشین بردار پشتیبان کوانتومی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، گروه مهندسی کامپیوتر، واحد دزفول، دانشگاه آزاد اسلامی، دزفول ، ایران

2 دانشیار، گروه مهندسی کامپیوتر، واحد دزفول، دانشگاه آزاد اسلامی، دزفول، ایران

3 استادیار، گروه مهندسی کامپیوتر، واحد دزفول، دانشگاه آزاد اسلامی، دزفول، ایران

چکیده

با ظهور نظریه محاسبات کوانتومی و شبکه­های ارتباطی کوانتومی، برقراری ارتباط محرمانه و ایمن چالش‌برانگیز شده است. نهان­کاوی سیگنال صوت کوانتومی یکی از زیرشاخه­های موردتوجه در حوزه پردازش سیگنال کوانتومی و محاسبات کوانتومی است که سعی دارد با استفاده از تکنیک­های استخراج ویژگی و الگوریتم­های یادگیری ماشین کوانتومی، ارتباطات مخفی در بستر شبکه­های ارتباطی کوانتومی را شناسایی کند. باتوجه‌به اینکه پنهان­نگاری باعث تغییرات اجتناب‌ناپذیری در ویژگی آماری حوزه فرکانس سیگنال میزبان می­شود، می­توان از آن به‌عنوان یک ابزار کارآمد و مؤثر برای ساختن نهان کاو جامع و دقیق استفاده کرد؛ بنابراین، روش پیشنهادی در ابتدا، از تبدیل فوریه کوانتومی روی سیگنال صوت QRDS برای استخراج ویژگی‌های آماری استفاده می‌­کند. برای این منظور، شبکه‌مدار کوانتومی پیشنهادی این ویژگی‌ها شامل مرکز طیفی کوانتومی و پهنای باند طیفی کوانتومی طراحی و پیاده‌سازی شده است. در نهایت، الگوریتم ماشین بردار پشتیبان کوانتومی (QSVM)، با استفاده ویژگی­های استخراج شده مجموعه داده‌های پاک و گنجانه با دقت بیشتر از 95% از هم تفکیک می­شوند.

کلیدواژه‌ها

عنوان مقاله [English]

Steganalysis of Quantum Audio Signal using Quantum Support Vector Machine Algorithm

نویسندگان [English]

  • Sanaz Norouzi Larki 1
  • Mohammad Mosleh 2
  • Mohammad Kheyrandish 3
1 Department of Computer Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran
2 Department of Computer Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran
3 Islamic Azad University of Dezful
چکیده [English]

With the advent of quantum computing theory and quantum communication networks, establishing confidential and secure communication has become challenging. Quantum audio signal steganalysis is one of the interesting subfields in the field of quantum signal processing and quantum computing, which tries to identify hidden communications in the context of quantum communication networks by using feature extraction techniques and quantum machine learning algorithms. Since steganography causes inevitable changes in the statistical characteristics of the frequency domain of the host signal, it can be used as an efficient and effective tool to build comprehensive and accurate steganalysis. So; At first, the proposed method uses quantum Fourier transform on QRDS audio signal to extract statistical features. For this purpose, the proposed quantum circuit network of these features, quantum spectral center and quantum spectral bandwidth has been designed and implemented. Finally, the Quantum Support Vector Machine (QSVM) algorithm, using the extracted features, separates clean and stego data sets with an accuracy of more than 95%.

کلیدواژه‌ها [English]

  • Quantum steganalysis
  • Quantum signal processing
  • Quantum Audio
  • Quantum Signal Representation
  • Quantum Fourier transform
  • Quantum Spectrum Centroid
  • Quantum Spectrum Bandwidth

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پدافند الکترونیکی و سایبری
دوره 11، شماره 3 - شماره پیاپی 43
شماره پیاپی 43، فصلنامه پاییز
آبان 1402
صفحه 1-14

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سابقه مقاله

  • تاریخ دریافت: 03 بهمن 1401
  • تاریخ بازنگری: 16 تیر 1402
  • تاریخ پذیرش: 04 مرداد 1402
  • تاریخ انتشار: 06 مهر 1402

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