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

Hussain, Shafqat; Asif, Muhammad; Shah, Tariq; Mahboob, Abid; Eldin, Sayed M.

doi:10.1109/access.2023.3261568

Cited by 6 publications

(2 citation statements)

References 36 publications

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“…Various image encryption approaches have been developed over the years, including conventional methods like symmetric and asymmetric encryption and more advanced techniques such as chaos-based encryption and cryptographic transformations. Some algorithms have been proposed in which images were encrypted using ECC and S-boxes Hussain et al (2023); Khalid et al (2022); Mahboob et al (2022). Each technique employs different principles and mechanisms to achieve image security Choi et al (2016); Hu et al (2017); Takkar and Singh (2017); Xu et al (2017).…”

Section: Introductionmentioning

confidence: 99%

A chaotic based image encryption scheme using elliptic curve cryptography and genetic algorithm

Kumar,

Sharma

2024

Artif Intell Rev

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In the era of digital communication and data security, image encryption plays a crucial role in safeguarding sensitive information. Protecting sensitive visual data from unauthorized access drives the pursuit of advanced image encryption methods. This paper proposes a novel approach to enhance image encryption by combining the power of a chaotic map, elliptic curve cryptography, and genetic algorithm. The chaotic map, specifically Arnold’s cat map, is employed to introduce chaos and randomness into the encryption process. The proposed image encryption process involves applying Arnold’s cat map for shuffling the pixel positions, followed by elliptic curve cryptography for encrypting the pixel values using public and private keys. Additionally, a genetic algorithm is employed to optimize the key generation process, enhancing the security of the encryption scheme. The combined utilization of these techniques aims to achieve a high level of confidentiality and robustness in image encryption. The algorithm underwent thorough analysis. It achieved a maximum entropy score of 7.99, indicating a high level of randomness and unpredictability in the encrypted data. Additionally, it exhibited near-zero correlation, which suggests strong resistance against statistical attacks. Moreover, the cryptographic range of possible keys was found to be $$2^{511}$$ 2 511 . This extensive key space makes the algorithm highly resilient against brute force attacks. It took only 0.5634 s to encrypt a moderately sized $$512\times 512$$ 512 × 512 pixel image with an 8-bit image on a standard desktop computer with a 2.3 GHz processor and 16 GB of RAM. The experimental findings confirm that the proposed approach is highly effective and efficient in safeguarding sensitive image data from unauthorized access and potential attacks. This scheme has the benefit of allowing us to protect our private image data while it’s being transmitted.

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Section: Introductionmentioning

confidence: 99%

A chaotic based image encryption scheme using elliptic curve cryptography and genetic algorithm

Kumar,

Sharma

2024

Artif Intell Rev

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“…These tables add complexity and non-linearity to cryptographic operations. This enhances resistance attacks, such as differential and linear cryptanalysis, algebraic attacks, and brute-force attacks [16]. GF arithmetic enables efficient operations such as addition, subtraction, multiplication, and division.…”

Section: An Overview Of Finite Fieldmentioning

confidence: 99%

Enhancing Speed and Imperceptibility in Watermarking Systems by Leveraging Galois Field Tables

Hassan,

Rahma

2024

IEEE Access

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The use of watermarking techniques, which incorporate invisible information into multimedia files, is crucial for securing digital content. Watermarking research still faces difficulties in striking a balance between speed, robustness, and imperceptibility. This research suggests a novel method for improving the speed and imperceptibility of watermarking systems that makes use of Galois Field (GF) tables. The advantage of creating GF tables is that they implement GF operations well, which greatly accelerates the watermarking processes. It is possible to reduce computational complexity and speed up execution times by previously calculating and storing GF tables. The proposed method is ideal for applications with strict time limitations since this performance improvement allows real-time watermarking. Additionally, imperceptibility is enhanced by the use of well-chosen irreducible polynomials in GF-based watermarking algorithms. The distribution and modulation of watermark bits are influenced by the selection of irreducible polynomials, allowing for optimal embedding with the least amount of visual distortions. By using this selection technique, the host media's quality and integrity are preserved because the embedded watermark is kept transparent or undetectable to human observers. In conclusion, this study provides a novel approach that makes use of Galois Field tables and selective irreducible polynomials to improve the speed and imperceptibility of watermarking systems. GF tables are used to increase computing effectiveness and enable real-time processing, whereas irreducible polynomials are selected to maximize imperceptibility. This strategy creates new opportunities for the creation of watermarking methods that effectively safeguard digital content without reducing user experience or system performance.

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Image scrambling encryption using chaotic map and genetic algorithm: a hybrid approach for enhanced security

Kumar,

Sharma

2024

Nonlinear Dyn

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

Cited by 6 publications

References 36 publications

A chaotic based image encryption scheme using elliptic curve cryptography and genetic algorithm

A chaotic based image encryption scheme using elliptic curve cryptography and genetic algorithm

Enhancing Speed and Imperceptibility in Watermarking Systems by Leveraging Galois Field Tables

Image scrambling encryption using chaotic map and genetic algorithm: a hybrid approach for enhanced security

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