Image Encryption using DNA Coding and Hyperchaotic System

Kar, M.; Kumar, Akshita; Nandi, Debashis; Mandal, Mrinal Kanti

doi:10.1080/02564602.2018.1544855

Cited by 21 publications

(6 citation statements)

References 15 publications

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“…Bitwise XOR operation on plaintext image pixels can disorder the pixel values without changing their pixel positions and achieve pixel value diffusion [27]. In this paper, we use double dislocation pixel aliasing with the following equation ( 12):…”

Section: Pixel Xor Operation Of Chaotic Systemmentioning

confidence: 99%

Holographic encryption algorithm based on the new integrated chaotic system and chaotic mask

Liang,

Chen,

Chen

et al. 2024

Phys. Scr.

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Image encryption algorithms based on chaos theory have rapidly developed in recent years, with many achieving encryption by confusion-diffusion structures. However, the security performance of these algorithms needs to be improved. This paper proposes a holographic encryption algorithm based on the new integrated chaotic system and chaotic mask. The improved Gerchberg-Saxton algorithm transforms plaintext images into pure-phase holograms. The chaotic masks generated by the new integrated chaotic system decompose holograms into sub-images. The sub-images are pixel-wise heterogeneous operations and are finally merged into the complete encrypted image. Compared with one-dimensional chaotic mapping, the generation of NICS is related to kinoform, which enhances the system's key sensitivity. The chaotic mask chunking method can generate random chunk locations and sizes, effectively preventing attacks against specific chunking rules. The performance analysis shows that the algorithm has a higher key space and security to resist stronger robustness attacks.

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Section: Pixel Xor Operation Of Chaotic Systemmentioning

confidence: 99%

Holographic encryption algorithm based on the new integrated chaotic system and chaotic mask

Liang,

Chen,

Chen

et al. 2024

Phys. Scr.

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“…Many authors have reported different types of encryption algorithms that are comprised of a hyperchaotic system along with logistic maps [4][5][6], S-box [7][8], discrete wavelet transforms (DWT) [9][10], genetic codes [11][12][13][14][15], sparse matrices [16], etc. Nazir et al [15] demonstrated RGB color image encryption using S-box substitution in the DNA domain.…”

Section: Introductionmentioning

confidence: 99%

A Novel Image Encryption Technique with Four Stage Bit-Interspersing and A 4D-Hyperchaotic System

Pal¹,

Mahanty

Pathak

et al. 2023

ECTI-CIT Transactions

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This paper introduces a new technique of color image encryption that includes four stages of bit interspersing and a 4D-hyperchaotic system. At first, the pixel values for different RGB channels of a plane color image were represented by an 8-bit binary number. The bit interspersing operation has been implemented on the bit stream generated by considering a particular block size for each color channel and reshaping it to the original size. The cipher image was then constructed by performing a bit XOR operation on the resultant image and the chaotic sequences generated by a 4D hyperchaotic system. The initial state variables of the said chaotic system have been developed from a 32-character secret key. This operation has been repeated three times, considering different block sizes of the newly generated cipher image after each stage. The main strengths of the proposed algorithm are the bit interspersing and image-dependent chaotic key base pixel substitution by bitwise XOR operation. A set of standard security tests are conducted to test the reliability of the suggested encryption method. Comparing the crypto-parameters to other recent works, we find that the proposed algorithm is better than the other methods.

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“…Also, it exhibits higher space complexity. Similarly, in recent days, many high image encryption algorithms based on high dimensional chaotic maps 10 , 11 and piecewise nonlinear chaotic maps 12 have been proposed. These systems achieved better security but they might be vulnerable to cryptanalytic attacks using high-performance computing, such as quantum processors.…”

Section: Introductionmentioning

confidence: 99%

Privacy-preserving transfer learning-based secure quantum image retrieval in encrypted domain for cloud environment

Janani

Brindha

2023

J. Electron. Imag.

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Nowadays, the rapid growth of personal handheld electronic devices encourages the individual and organizations to upload their information to cloud for storage and processing purposes. To ensure privacy, the images are encrypted using cryptographic schemes that are outsourced to the cloud. Though images are encrypted, searching for similar images leads the cloud server to access the image data as it performs computation over plaintext. Thus, to ensure the privacy of the images during image retrieval, the proposed framework presents a transfer learning-based secure quantum image retrieval scheme over encrypted cloud. The confidentiality of the images is guaranteed by introducing quantum-based image encryption. Meanwhile, clustered image feature vectors are extracted through the transfer learning model and protected using secure multiparty computation. During retrieval, the proposed system introduces a similarity comparison model for performing computation on encrypted data. The experiments and performance analysis show the effectiveness and security of the proposed scheme.

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Image Encryption using DNA Coding and Hyperchaotic System

Cited by 21 publications

References 15 publications

Holographic encryption algorithm based on the new integrated chaotic system and chaotic mask

Holographic encryption algorithm based on the new integrated chaotic system and chaotic mask

A Novel Image Encryption Technique with Four Stage Bit-Interspersing and A 4D-Hyperchaotic System

Privacy-preserving transfer learning-based secure quantum image retrieval in encrypted domain for cloud environment

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