An Audio Encryption Algorithm Based on DNA Coding and Chaotic System

Wang, Xingyuan; Su, Yining

doi:10.1109/access.2019.2963329

Cited by 45 publications

(23 citation statements)

References 27 publications

(21 reference statements)

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“…The Crest Factor (CF) [9,13,32] is a parameter of the waveform, such as Alternating Current (AC) or sound parameter, which represents the ratio of peak value to effective value, and is used to describe the extreme degree of peak value in the waveform. CF is defined as follows.…”

Section: Antidifferential Attack Analysismentioning

confidence: 99%

Audio Encryption Algorithm Based on Chen Memristor Chaotic System

Dai

Song

et al. 2021

Symmetry

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The data space for audio signals is large, the correlation is strong, and the traditional encryption algorithm cannot meet the needs of efficiency and safety. To solve this problem, an audio encryption algorithm based on Chen memristor chaotic system is proposed. The core idea of the algorithm is to encrypt the audio signal into the color image information. Most of the traditional audio encryption algorithms are transmitted in the form of noise, which makes it easy to attract the attention of attackers. In this paper, a special encryption method is used to obtain higher security. Firstly, the Fast Walsh–Hadamar Transform (FWHT) is used to compress and denoise the signal. Different from the Fast Fourier Transform (FFT) and the Discrete Cosine Transform (DCT), FWHT has good energy compression characteristics. In addition, compared with that of the triangular basis function of the Fast Fourier Transform, the rectangular basis function of the FWHT can be more effectively implemented in the digital circuit to transform the reconstructed dual-channel audio signal into the R and B layers of the digital image matrix, respectively. Furthermore, a new Chen memristor chaotic system solves the periodic window problems, such as the limited chaos range and nonuniform distribution. It can generate a mask block with high complexity and fill it into the G layer of the color image matrix to obtain a color audio image. In the next place, combining plaintext information with color audio images, interactive channel shuffling can not only weaken the correlation between adjacent samples, but also effectively resist selective plaintext attacks. Finally, the cryptographic block is used for overlapping diffusion encryption to fill the silence period of the speech signal, so as to obtain the ciphertext audio. Experimental results and comparative analysis show that the algorithm is suitable for different types of audio signals, and can resist many common cryptographic analysis attacks. Compared with that of similar audio encryption algorithms, the security index of the algorithm is better, and the efficiency of the algorithm is greatly improved.

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Section: Antidifferential Attack Analysismentioning

confidence: 99%

Audio Encryption Algorithm Based on Chen Memristor Chaotic System

Dai

Song

et al. 2021

Symmetry

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“…This means one can apply these control parameters and initial conditions as keys in cipher system. In addition, the low cost of chaotic signal makes it appropriate to be used in audio encryption algorithms [11,12]. Because of all these chaos theory advantages, now, audio encryption algorithms based on chaotic maps have been a more interest and progress.…”

Section: Secondmentioning

confidence: 99%

A Review on Audio Encryption Algorithms Using Chaos Maps-Based Techniques

Albahrani

Alshekly²,

Lafta

2021

JCSANDM

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Due to the quick improvement in digital communications and multimedia applications during recent periods up to the current time, data protection of digital data such as image, audio and video becomes a significant challenge. The security of audio data that transfer through different networks was rated as a preferred research field in the preceding years. This review covers the recent contribution for audio encryption and gives the most evaluations for audio encryption algorithm involving security analysis, computational complexity and quality analysis and their requirements. This paper fundamentally concentrates on displaying the different types of audio encryption and decryption techniques based on chaotic maps. Digital and analog audio algorithms were displayed, discussed and compared with the illustration of the important features and drawbacks. Various digital and audio proposed projects for audio encryption using chaotic maps have been covered, which they showed extreme sensitivity to initial conditions, unpredictability and conducting in a quasi-random manner. A comparison among the proposed algorithms in the key space, chaotic maps sensitivity and statistical analysis were provided.

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“…A strong encryption algorithm would convert the speech file to an unpredictable signal with a low correlation factor. It can be measured as [20]:…”

Section: Correlation Coefficient Analysis (Cc)mentioning

confidence: 99%

Speech Encryption Technique using S - box based on Multi Chaotic Maps

Abdullah¹,

Abduljaleel²

2021

TEM Journal

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This paper proposes the establishment of a secure encryption system for data transmission that includes three stages: first stage is a scrambling stage that is divided into scrambling of different sizes blocks and scrambling bits, the second stage is the use of DNA code to flip the bits and the third stage is the encryption using the Substitution box by 256 keys. The scheme is analysed using a variety of metrics. The findings demonstrate that the proposed system is significantly more reliable and robust against various forms of attacks than several recent related speech signal encryption systems.

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An Audio Encryption Algorithm Based on DNA Coding and Chaotic System

Cited by 45 publications

References 27 publications

Audio Encryption Algorithm Based on Chen Memristor Chaotic System

Audio Encryption Algorithm Based on Chen Memristor Chaotic System

A Review on Audio Encryption Algorithms Using Chaos Maps-Based Techniques

Speech Encryption Technique using S - box based on Multi Chaotic Maps

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