Chaos based crossover and mutation for securing DICOM image

Ravichandran, Dhivya; Praveenkumar, Padmapriya; Rayappan, John Bosco Balaguru; Amirtharajan, Rengarajan

doi:10.1016/j.compbiomed.2016.03.020

Cited by 181 publications

(70 citation statements)

References 49 publications

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“…The ciphered image randomness is measured by utilizing the local Shannon entropy , B k T H  . As mentioned in [31], experiment has been carried out for standard Lena image with size 256×256 over randomly chosen 16 blocks. Fig.…”

Section: Local Shannon Entropymentioning

confidence: 99%

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A chaotic image encryption scheme with complex diffusion matrix for plain image sensitivity

Thiyagarajan¹,

Murugan²,

Gounden³

2019

Serb J Electr Eng

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A chaotic cipher is presented in this paper using 1-Dimensional and 2-Dimensional chaotic maps like logistic, Chebyshev and Arnold cat map. Permutation phase utilizes logistic map followed by Arnold cat map whereas in diffusion phase, Chebyshev's map is used. Subsequently, another complex diffusion matrix is generated from the original image. This matrix is employed to enhance the diffusion effect further. Eventually, strong input image sensitivity is explored due to this diffusion. Simulation results exhibit that the recommended cipher ensures not only high key and entropy value but also less correspondence between nearby pixels along all directions. The key point of this cipher is the high Number of Pixels Change Rate (NPCR) and Unified Average Changing Intensity (UACI) values. Due to this impact, the proposed cipher produces completely random encrypted images.

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Section: Local Shannon Entropymentioning

confidence: 99%

“…Accordingly it is demonstrated that the proposed cipher is not vulnerable to the statistical attack. Also the histogram uniformity is obtained by Chi-square test [31]. So, the chisquare test is simulated for various sample images and recorded in Table 5.…”

Section: Histogram Analysismentioning

confidence: 99%

A chaotic image encryption scheme with complex diffusion matrix for plain image sensitivity

Thiyagarajan¹,

Murugan²,

Gounden³

2019

Serb J Electr Eng

View full text Add to dashboard Cite

show abstract

“…The security of chaotic maps depends upon the number of parameters that are used in these chaotic cryptosystems. To increase the number of these parameters, multi-dimensional and multiple iterative chaotic maps have been used [26]. However, security deficiencies remain [27].…”

Section: Image Encryption With Chaotic Mapsmentioning

confidence: 99%

Joint Image Compression and Encryption Using IWT with SPIHT, Kd-Tree and Chaotic Maps

Nasrullah¹,

Sang

Akbar

et al. 2018

Applied Sciences

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Confidentiality and efficient bandwidth utilization require a combination of compression and encryption of digital images. In this paper, a new method for joint image compression and encryption based on set partitioning in hierarchical trees (SPIHT) with optimized Kd-tree and multiple chaotic maps was proposed. First, the lossless compression and encryption of the original images were performed based on integer wavelet transform (IWT) with SPIHT. Wavelet coefficients undergo diffusions and permutations before encoded through SPIHT. Second, maximum confusion, diffusion and compression of the SPIHT output were performed via the modified Kd-tree, wavelet tree and Huffman coding. Finally, the compressed output was further encrypted with varying parameter logistic maps and modified quadratic chaotic maps. The performance of the proposed technique was evaluated through compression ratio (CR) and peak-signal-to-noise ratio (PSNR), key space and histogram analyses. Moreover, this scheme passes several security tests, such as sensitivity, entropy and differential analysis tests. According to the theoretical analysis and experimental results, the proposed method is more secure and decreases the redundant information of the image more than the existing techniques for hybrid compression and encryption.

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“…Traditional encryption algorithms are not suitable for image encryption [18]. Chaotic systems are known for their sensitivity to initial conditions and parameters, pseudo-randomness, ergodicity, and reproducibility [19]. It is very suitable for video image encryption.…”

Section: Introductionmentioning

confidence: 99%

A Selective Video Encryption Scheme Based on Coding Characteristics

Cheng

Wang

Ao³

et al. 2020

Symmetry

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The protection of video data has become a hot topic of research. Researchers have proposed a series of coding algorithms to ensure the safe and efficient transmission of video information. We propose an encryption scheme that can protect video information with higher security by combining the video coding algorithm with encryption algorithm. The H.264/AVC encoding algorithm encodes the video into multiple slices, and the slices are independent of each other. With this feature, we encrypt each slice while using the cipher feedback (CFB) mode of the advanced encryption standard (AES) with the dynamic key. The key is generated by the pseudo-random number generator (PRNG) and updated in real time. The encryption scheme goes through three phases: constructing plaintext, encrypting plaintext, and replacing the original bitstream. In our scheme, we encrypt the code stream after encoding, so it does not affect the coding efficiency. The purpose of the CFB mode while using the AES encryption algorithm is to maintain the exact same bit rate and produce a format compatible bitstream. This paper proposes a new four-dimensional (4-D) hyperchaotic algorithm to protect data privacy in order to further improve the security of video encryption. Symmetric encryption requires that the same key is used for encryption and decoding. In this paper, the symmetry method is used to protect the privacy of video data due to the large amount of video encrypted data. In the experiment, we evaluated the proposed algorithm while using different reference video sequences containing motion, texture, and objects.

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Chaos based crossover and mutation for securing DICOM image

Cited by 181 publications

References 49 publications

A chaotic image encryption scheme with complex diffusion matrix for plain image sensitivity

A chaotic image encryption scheme with complex diffusion matrix for plain image sensitivity

Joint Image Compression and Encryption Using IWT with SPIHT, Kd-Tree and Chaotic Maps

A Selective Video Encryption Scheme Based on Coding Characteristics

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