Image Encryption Using Block Cipher Based Serpent Algorithm

Ali, Yossra Hussain; Ressan, Haider Aabdali

doi:10.30684/etj.34.2b.10

Cited by 5 publications

(2 citation statements)

References 2 publications

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“…A low MSE value indicates that both vectors are equal [29]. It is always non-negative, and the values close to zero are better [30]. The best MSE value based on the test results data is shown on the mean and spatial lowpass filter, which equals 5.07.…”

Section: Resultsmentioning

confidence: 94%

Study of Poisson Noise Reduction on Gamma Camera Image Using Spatial Domain Filter

Puspitasari,

Karthika,

Nugrahani

et al. 2024

gnd

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A gamma camera image is produced by a gamma camera that detects the gamma radiation emitted by the radioactive substance or radiopharmaceutical injected into the body. The gamma camera image sometimes has noise that can interfere with the diagnosis. This image is commonly affected by a Poisson-type random noise. This research proposes using a spatial domain filter to study Poisson noise reduction in gamma camera images. The image sample used is the image of a mouse injected with Lu-177-DOTA Trastuzumab with 100 µCi activity detected using a dual-head gamma camera with NaI(Tl) detectors. The grayscale image is treated with Poisson noise, then improved using a spatial domain filter. The spatial domain filters used include Mean, Median, Wiener, and Spatial Lowpass Filters. The mean filter is the best one that can reduce Poisson noise among the four applied filters. The best filter size for noise reduction is 3 with MSE 5.07, PSNR 41.08 dB, and SSIM 0.99.

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Section: Resultsmentioning

confidence: 94%

Study of Poisson Noise Reduction on Gamma Camera Image Using Spatial Domain Filter

Puspitasari,

Karthika,

Nugrahani

et al. 2024

gnd

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“…Image encryption using block cipher-based serpent algorithm is presented in [15] A proposal algorithm for images protection is depending on the block cipher serpent algorithm in Feistel network structure. Then another scheme for the improvement of serpent algorithm and design to RGB image encryption implementation is present in [16].…”

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confidence: 99%

Redesigning the Serpent Algorithm by PA-Loop and Its Image Encryption Application

et al. 2023

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This article presents a cryptographic encryption standard whose model is based on Serpent presented by Eli Biham, Ross Anderson, and Lars Knudsen. The modification lies in the design of the Cipher, we have used power associative (PA) loop and group of permutations. The proposed mathematical structure is superior to Galois Field (GF) in terms of complexity and has the ability to create arbitrary randomness due to a larger key space. The proposed method is simple and speedy in terms of computations, meanwhile it affirms higher security and sensitivity. In contrast to GF, PA-loop are non-isomorphic and have several Cayley table representations. This validates the resistance to cryptanalytic attacks, particularly those targeting mathematical structures. This cryptographic scheme's full description of encryption and decryption is measured and rigorously assessed to support its multimedia applications. The observed speed of this technique, which uses a key of 256 bits and a block size of 128 bits, is comparable to three-key triple-DES.

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Improved SERPENT Algorithm: Design to RGB Image Encryption Implementation

2020

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Gigantic data transfer over networks and internet turned in developing a large number of encryption techniques. As a consequence, in parallel, it gave birth to new plans of attacks. In facet of data security, the algorithms specifically Rijndael (Advanced Encryption Standard-AES), SERPENT and TWOFISH are equally considered to be the best. However, they pay less attention in some cryptographic areas like digital image encryption schemes because of their time consumption inferiority. In this paper, we introduce a time diminishing improved version of SERPENT algorithm depending upon chain ring-based substitution boxes (S-boxes) dealing with 8-bit vector instead of 4-bit. The multiplicative substructures in a chain ring have multiple generators and thus the chain ring based S-boxes improve the algebraic complexity of the cipher. Apart from it, the algorithm is utilized in a digital RGB image encryption application where throughout the chain ring operations are performed. The digital image analyses reveal that the proposed scheme consumes less time (i.e. 8.2 microseconds for encryption and 5.8 microseconds for decryption of a 128-bit block) as compared to the existing prominent RGB image encryption techniques. Furthermore, the investigation on the suggested RGB image encryption scheme it is observed that it has a great resistance against the statistical and the differential attacks. INDEX TERMSS-box, Chain ring, SERPENT algorithm, AES, RGB image encryption. TARIQ SHAH received the Ph.D. degree in mathematics from the University of Bucharest, Romania, in 2000. He is currently a Professor with the Department of Mathematics, Quaid-i-Azam University, Islamabad, Pakistan. His areas of interests are in commutative algebra, non-associative algebra, and error-correcting codes and cryptography.

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Image Encryption Using Block Cipher Based Serpent Algorithm

Cited by 5 publications

References 2 publications

Study of Poisson Noise Reduction on Gamma Camera Image Using Spatial Domain Filter

Study of Poisson Noise Reduction on Gamma Camera Image Using Spatial Domain Filter

Redesigning the Serpent Algorithm by PA-Loop and Its Image Encryption Application

Improved SERPENT Algorithm: Design to RGB Image Encryption Implementation

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