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contributor authorCandan, Cagri
contributor authorSahin, Muhammet Emin
date accessioned2026-08-23T07:48:06Z
date available2026-08-23T07:48:06Z
date copyright2026/03/01
date issued2026
identifier issn1555-1415
identifier othercnd-25-1230.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4315626
description abstractAbstract. The growing demand for secure multimedia transmission, particularly in real-time and resource-limited environments, has emphasized the need for robust audio encryption techniques. This study proposes a novel encryption method using a hyperchaotic four-dimensional system driven by a memristor-based circuit. The hyperchaotic system, verified through Lyapunov exponents and bifurcation analysis, forms the core of a high-entropy pseudo-random number generator (PRNG). The generated sequences pass all subtests in the NIST SP800-22 and FIPS 140-1 statistical suites, confirming their cryptographic suitability. The encryption follows a confusion–diffusion structure: audio samples are first permuted using chaotic indices and then masked using bitwise XOR with PRNG output. The method is tested on real-world audio types—including speech, environmental sounds, and music—and evaluated through waveform, spectrogram, histogram, and statistical metrics. Results demonstrate strong resistance to brute-force and differential attacks. In addition, the use of a memristor-based system introduces a new perspective in audio security by enabling low-power, hardware-oriented, and physically realizable chaotic circuits. This work contributes a lightweight and secure audio encryption framework suitable for embedded and next-generation multimedia applications.
publisherThe American Society of Mechanical Engineers (ASME)
titleAudio Signal Encryption Using Memristor-Based Hyperchaotic Dynamics and Statistical Randomness Validation
typeJournal Paper
journal volume21
journal issue3
journal titleJournal of Computational and Nonlinear Dynamics
identifier doi10.1115/1.4070497
journal fristpage322
journal lastpage346
page25
treeJournal of Computational and Nonlinear Dynamics:;2026:;volume( 021 ):;issue:003
contenttypeFulltext


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