Image Encryption Algorithm Based on Block Scrambling and Finite State Machine

Geng, Shengtao; Wu, Tao; Shida, Wang; Zhang, Xuncai; Wang, Yanfeng

doi:10.1109/access.2020.3045101

Cited by 5 publications

(3 citation statements)

References 31 publications

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“…The proposed method provides good security and robustness. Gen et al [25] proposed an image encryption method by incorporating a finite state machine (FSM) and block scrambling. The algorithm starts by decomposing the original image into four frequency bands through the discrete wavelet transform.…”

Section: Introductionmentioning

confidence: 99%

Color Image Encryption Algorithm Based on a Chaotic Model Using the Modular Discrete Derivative and Langton’s Ant

et al. 2023

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In this work, a color image encryption and decryption algorithm for digital images is presented. It is based on the modular discrete derivative (MDD), a novel technique to encrypt images and efficiently hide visual information. In addition, Langton’s ant, which is a two-dimensional universal Turing machine with a high key space, is used. Moreover, a deterministic noise technique that adds security to the MDD is utilized. The proposed hybrid scheme exploits the advantages of MDD and Langton’s ant, generating a very secure and reliable encryption algorithm. In this proposal, if the key is known, the original image is recovered without loss. The method has demonstrated high performance through various tests, including statistical analysis (histograms and correlation distributions), entropy, texture analysis, encryption quality, key space assessment, key sensitivity analysis, and robustness to differential attack. The proposed method highlights obtaining chi-square values between 233.951 and 281.687, entropy values between 7.9999225223 and 7.9999355791, PSNR values (in the original and encrypted images) between 8.134 and 9.957, the number of pixel change rate (NPCR) values between 99.60851796% and 99.61054611%, unified average changing intensity (UACI) values between 33.44672377% and 33.47430379%, and a vast range of possible keys >5.8459×1072. On the other hand, an analysis of the sensitivity of the key shows that slight changes to the key do not generate any additional information to decrypt the image. In addition, the proposed method shows a competitive performance against recent works found in the literature.

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Section: Introductionmentioning

confidence: 99%

Color Image Encryption Algorithm Based on a Chaotic Model Using the Modular Discrete Derivative and Langton’s Ant

et al. 2023

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“…Geng S scrambles the four frequency bands using chaotic sequences and zigzag scanning curves to construct scrambling matrix. Chaotic sequences, DNA coding and automata are combined, and the sequences are diffused by using key stream to further improve the security of cryptographic images [3].…”

Section: Literature Reviewmentioning

confidence: 99%

LFSR state sequence image encryption method based on VHDL language

Niu

2023

TNS

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In the modern society of digitalization, integration, intelligence, and networking, while people enjoy the convenience of information technology to their production and lives, information security in the network, as the cornerstone of information communication, becomes more and more important. The research is to establish a new image encryption (IE) method based on LFSR state sequence (SS)s in VHDL language, and the stream cipher of LFSR is studied in detail to induce the idea of LFSR SSs based on VHDL language. The correlation coefficient (CC) of the original image (OI) and encrypted image (EI) pixel points (PP) are analyzed from horizontal direction, vertical direction and diagonal direction, and the results show that the CC of adjacent PP of the OI is large, which approaches 1. However, using the encryption algorithm proposed in this paper, the correlation coefficient of the PP of the EI is -0.0282 in the diagonal direction, and the highest correlation coefficient in the horizontal direction is only 0.0122, which indicates that the adjacent PP of the EI are almost uncorrelated with each other. Therefore, the encryption method can well resist statistical attacks, which illustrates the effectiveness, security, and reliability of this new IE method.

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“…Further, Wang and Chen [19] in 2020 summarizes the previous work about the cryptanalysis of permutation diffusion based scheme and designed a more efficient dynamic spiral scrambling scheme using high degree Lorenz chaos function. Thereafter, a unique technique was also proposed by Gang et al [20] combining the block scrambling operation with a finite state machine. The technique also utilized zigzag scanning confusion operation along with the essence of Lorenz chaos and DNA computing to resist with statistical and differential attack.…”

Section: Introductionmentioning

confidence: 99%

An Efficient and Secure DNA based Image Encryption Technique

Ajit Singh

2023

IJRITCC

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In this paper, an efficient and secure DNA based image encryption technique using hyper chaos Lorenz function is proposed. The technique employs SHA-512 hash of gray scale image and primary key to alter the initial seeds of hyper chaos Lorenz function. Initially, chaotic sequences are generated and redesigned. Then, an image is divided into blocks and randomly shuffled according to the primary key. Further perform circular shift operation over the rows of the shuffled image matrix and index based scrambling operation over the columns. After that, perform dynamic encoding and diffusion based DNA algebraic operation over the encoded DNA sequence and DNA based Key sequence using chaotic sequence. Finally, DNA decoding is employed to convert the diffused dynamic matrix into a ciphered image. The dynamicity of the chaotic sequences makes its extraordinary and contributes to the enhanced security and robustness of the technique. Implementation, security and performance analysis demonstrate that the technique has not only an outstanding encryption effect, but also posses large key space, less pixel correlation, low computation time and successfully resilient to the statistical, differential and brute-force attack. Comparative analysis with other references proves its efficiency and practicability for real time applications.

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Image Encryption Algorithm Based on Block Scrambling and Finite State Machine

Cited by 5 publications

References 31 publications

Color Image Encryption Algorithm Based on a Chaotic Model Using the Modular Discrete Derivative and Langton’s Ant

Color Image Encryption Algorithm Based on a Chaotic Model Using the Modular Discrete Derivative and Langton’s Ant

LFSR state sequence image encryption method based on VHDL language

An Efficient and Secure DNA based Image Encryption Technique

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