An image encryption method based on selective AES coding of wavelet transform and chaotic pixel shuffling

Shakir, Haidar Raad

doi:10.1007/s11042-019-07766-z

Cited by 34 publications

(11 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…6 [(e), (k), (q), (w), (cc), (ii)], while the spectrogram of the corresponding encrypted audio files is shown on Fig. (6) [(f), (l), (r), (x), (dd), (jj)].…”

Section: Spectrogram Analysismentioning

confidence: 99%

Audio Encryption Scheme Using Self-Adaptive Bit Scrambling and Two Multi Chaotic-Based Dynamic DNA Computations

Abdelfatah

2020

IEEE Access

View full text Add to dashboard Cite

In this paper, a novel scheme for secure audio transmission is introduced. The novelty of this scheme is that it combines four different techniques for audio encryption in the same scheme which makes it more secure: self-adaptive scrambling, multi chaotic maps, dynamic DNA encoding and cipher feedback encryption. Also, it introduces two new designed multi chaotic maps as pseudo random generators that combine five different chaotic maps with eight control parameters. The scheme consists of three phases with three secret keys. The first phase is a self-adaptive bit scrambling where SHA512 of the input audio is computed to be used as a first secret key for cyclic shifting the input audio binary stream which efficiently reduces the strong correlation between neighboring audio samples. The second phase is a dynamic DNA encoding of the scrambled audio by using a second secret key obtained from a pseudo random generator (LCS) using a novel design of multi chaotic maps including Sine, Chebyshev and Logistic map with three control parameters. As DNA encoding provides fast computations and large capacity for data transmission, the third phase consists of two DNA algebraic operations ''AND'' and ''XOR'' using a pseudorandom DNA sequence as a third secret key generated by another new designed multi chaotic HLG map which combines Henon, Logistic and Gaussian chaotic maps and has five control parameters. The third phase is structured in a cipher feedback mode and so it achieves strong diffusion and confusion in the encrypted audio. Also combining five different chaotic maps in the proposed scheme increases the number of secret control parameters which achieves a huge key space and so robust strength against brute force attacks. The scheme is evaluated by using different measurements including signal to noise ratio (SNR), peak signal to noise ratio (PSNR), number of samples change rate (NSCR), unified average changing intensity (UACI), root mean square (RMS), crest factor (CF), correlation coefficient, histogram, key sensitivity and key space. From results, it is clear that the scheme is highly secure and stronger than many recent similar audio encryption schemes against different types of attacks.INDEX TERMS Audio encryption, DNA encoding, chaotic maps, security analysis.

show abstract

“…6 [(e), (k), (q), (w), (cc), (ii)], while the spectrogram of the corresponding encrypted audio files is shown on Fig. (6) [(f), (l), (r), (x), (dd), (jj)].…”

Section: Spectrogram Analysismentioning

confidence: 99%

Audio Encryption Scheme Using Self-Adaptive Bit Scrambling and Two Multi Chaotic-Based Dynamic DNA Computations

Abdelfatah

2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…There are many image encryption techniques available for real-time utilization. They are categorized into symmetric (Single key), including Data Encryption Standard(DES), as Gong-bin et al [13], Triple-DES, as mentioned by Mohammad et al [14], Advanced Encryption Standard (AES) as stated by Shakir [15], and asymmetric approaches(Public key) that includes Rivest Shamir Adleman(RSA) based image encryption as discussed by Zhao et al [16]; Alsaffar et al, [17] and Digital Signature Algorithm(DSA) as mention by Xiao Chen and Chun-Jie Hu [18], where the latter category of the image enhancement need two keys that are being generated through the key generator or any other alternative mechanism. There is a significant demand for the secured compression algorithm for exchanging the data over the sensor network with latest networking gateways Dener [19].…”

Section: Introductionmentioning

confidence: 99%

Secured Compression for 2D Medical Images Through the Manifold and Fuzzy Trapezoidal Correlation Function

Srinivasu

Norwawi

AMİRİPALLİ

et al. 2022

Gazi University Journal of Science

View full text Add to dashboard Cite

show abstract

“…It is a good choice to encrypt images by a chaotic system because the chaotic system has high randomness, good ergodicity and sensitivity of initial values, which correspond to avalanche, diffusivity and confusability of cryptography [1]. Therefore, the chaotic system has been widely used in image encryption algorithms [2], [3], [4], [5], [6]. Previous chaotic encryption technologies were mostly based on low-dimensional discrete chaotic maps [7], [8], [9], [10].…”

Section: Introductionmentioning

confidence: 99%

A Novel Image Encryption Algorithm Based on Chaotic Sequences and Cross-Diffusion of Bits

Geng

Shida

et al. 2021

IEEE Photonics J.

View full text Add to dashboard Cite

An image encryption method based on selective AES coding of wavelet transform and chaotic pixel shuffling

Cited by 34 publications

References 9 publications

Audio Encryption Scheme Using Self-Adaptive Bit Scrambling and Two Multi Chaotic-Based Dynamic DNA Computations

Audio Encryption Scheme Using Self-Adaptive Bit Scrambling and Two Multi Chaotic-Based Dynamic DNA Computations

Secured Compression for 2D Medical Images Through the Manifold and Fuzzy Trapezoidal Correlation Function

A Novel Image Encryption Algorithm Based on Chaotic Sequences and Cross-Diffusion of Bits

Contact Info

Product

Resources

About