Speech encryption using hybrid-hyper chaotic system and binary masking technique

Sathiyamurthi, P.; Ramakrishnan, S.

doi:10.1007/s11042-021-11757-4

Cited by 18 publications

(3 citation statements)

References 38 publications

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“…In this study, we chose random 50000 pairs of adjacent samples from the original and encrypted audio to estimate the correlation between nearby samples. The correlation of the -0.011358 Ref [6] 1.000000 0.035300 Ref [7] 0.888833 0.000766 Ref [8] 0.965575 0.002262 Ref [18] 0.971000 -0.002600 Ref [26] 0.998100 0.010400 Ref [27] 0.946400 0.003372 Ref [28] -0.000280 plaintext and ciphertext is given in Table III. The table shows that the correlation of the original signals is strong (close to 1).…”

Section: Correlation Coefficient Analysismentioning

confidence: 99%

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An Audio Encryption Scheme Based on Empirical Mode Decomposition and 2D Cosine Logistic Map

Maity,

Dhara

2024

IEEE Latin Am. Trans.

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In this work, we have proposed an audio encryption method. The proposed method is audio signal sensitive as the hash value of the given signal is computed using SHA3-512, which returns a significantly large key of size 512-bit. This key is used to set the different parameters. This work suggests a 2D Cosine Logistic Map (2DCLM) by fusing the Cosine map with the Logistic map. The proposed 2DCLM functions well under chaos. The given audio signal is scrambled with the help of the hash value. The scrambled signal is decomposed by Empirical Mode Decomposition (EMD); before using the EMD, the signal is segmented into a 2D signal to reduce the time complexity of the EMD method. The residuals given by EMD and the stream generated by 2DCLM are XOR-ed to encrypt the signal. Finally, the 2D encrypted signal is transformed into a 1D encrypted audio signal. The efficacy of the present method is evaluated with the help of different audio streams. The findings of the simulation and comparison indicate that the suggested technique may deliver effective encryption results while thwarting cryptographic assaults.

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Section: Correlation Coefficient Analysismentioning

confidence: 99%

“…Ref [1] 99.5835 25.5850 Ref [6] 99.9985 -Ref [7] 100.0000 33.3578 Ref [8] 99.9893 30.3234 Ref [18] 99.9985 33.4000 Ref [26] 99.9494 33.1694 Ref [27] 99.9916 33.2057 Ref [28] 99.9948 35.5483…”

Section: F Key Sensitivitymentioning

confidence: 99%

An Audio Encryption Scheme Based on Empirical Mode Decomposition and 2D Cosine Logistic Map

Maity,

Dhara

2024

IEEE Latin Am. Trans.

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“…Some symmetric systems have an infinite number of periodic orbits or aperiodic trajectories [39][40][41]. The diverse and flexible evolutionary attributes of symmetric chaotic systems give them extensive application value in various fields, such as image encryption [42][43][44][45], speech encryption [46][47][48] and random number generating [49,50].…”

Section: Introductionmentioning

confidence: 99%

Symmetric Strange Attractors: A Review of Symmetry and Conditional Symmetry

Jiang

et al. 2023

Symmetry

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A comprehensive review of symmetry and conditional symmetry is made from the core conception of symmetry and conditional symmetry. For a dynamical system, the structure of symmetry means its robustness against the polarity change of some of the system variables. Symmetric systems typically show symmetrical dynamics, and even when the symmetry is broken, symmetric pairs of coexisting attractors are born, annotating the symmetry in another way. The polarity balance can be recovered through combinations of the polarity reversal of system variables, and furthermore, it can also be restored by the offset boosting of some of the system variables if the variables lead to the polarity reversal of their functions. In this case, conditional symmetry is constructed, giving a chance for a dynamical system outputting coexisting attractors. Symmetric strange attractors typically represent the flexible polarity reversal of some of the system variables, which brings more alternatives of chaotic signals and more convenience for chaos application. Symmetric and conditionally symmetric coexisting attractors can also be found in memristive systems and circuits. Therefore, symmetric chaotic systems and systems with conditional symmetry provide sufficient system options for chaos-based applications.

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