Improved affine encryption algorithm for color images using LFSR and XOR encryption

IHSAN, Aysegul; Doğan, Nurettin

doi:10.1007/s11042-022-13727-w

Cited by 6 publications

(1 citation statement)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In channel R, R1 is assigned to HR1, the horizontal diffusion transformation is performed on HR1 according to equation (18), and the result is denoted as VR1; the reverse vertical diffusion is performed on VR1 according to equation (19), and the result VR1 is assigned to R2.…”

Section: Horizontal Vertical Diffusion Algorithmmentioning

confidence: 99%

A color image encryption scheme based on cellular neural networks and linear feedback shift registers

Yan,

Wang,

2024

Phys. Scr.

View full text Add to dashboard Cite

In this paper, a cellular neural network (CNN) chaotic system is constructed and the multiple stability of the system and its rich chaotic properties are confirmed by studying the effect of parameters on the system, coexisting attractors, and offset boosting behavior. As linear feedback shift registers (LFSR) can be applied to cryptography, this paper applies LFSR to generate encrypted key matrices to enhance the randomness of encryption algorithms. Based on CNN and LFSR, a new color image encryption algorithm is designed by combining DNA coding and bit-plane decomposition with high bit-plane Zigzag dislocation changes. Experimental results and security tests show that the algorithm is highly secure and resistant to a variety of common attacks, such as differential attacks, cropping attacks, and noise attacks.

show abstract

Section: Horizontal Vertical Diffusion Algorithmmentioning

confidence: 99%

A color image encryption scheme based on cellular neural networks and linear feedback shift registers

Yan,

Wang,

2024

Phys. Scr.

View full text Add to dashboard Cite

show abstract

An innovative image encryption algorithm enhanced with the Pan-Tompkins Algorithm for optimal security

İhsan,

Doğan

2024

Multimed Tools Appl

View full text Add to dashboard Cite

This study introduces a cutting-edge image encryption algorithm aimed at elevating security standards. The Pan-Tompkins Algorithm (PTA) for key generation is proposed for the first time in this study. Additionally, employing steganography through the Least Significant Bit (LSB) method for embedding keys within the encrypted image enhances secure key distribution, thereby fortifying the encryption process. On the other hand, the integration of advanced algorithms, such as Zigzag scanning, the Affine Image Encryption Algorithm (AA), and the Vigenere Image Encryption Algorithm (VA), constitutes the fundamental innovation of the proposed image encryption algorithm. The proposed algorithm is named PanAAVA:Affine Algorithm and Vigenere Algorithm Encryption with PTA-Based Key Generation. The PanAAVA algorithm ensures unparalleled security by encrypting the positions and values of pixels using AA and VA. Notably, using PTA for key generation marks a distinctive and new key generation method feature of the algorithm. To assess the effectiveness of the PanAAVA, a comprehensive comparative analysis is conducted against well-established encryption methodologies, including Lena, Baboon, Airplane, and Pepper.The PanAAVA demonstrates exceptional proficiency in histogram analysis. The PanAAVA demonstrates a Unified Average Changing Intensity (UACI) of 33.4044%. Additionally, the Number of Pixels Change Rate (NPCR) is measured at 99.7442%, showcasing the algorithm’s effectiveness in inducing significant pixel changes. The proposed algorithm’s Mean Square Error (MSE) is calculated at 3.20679E5%. The proposed algorithm’s Peak Signal to Noise Ratio (PSNR) is recorded at 9.512475. The Key Space Size of the proposed algorithm is measured at 2209. Regarding correlation analysis, the PanAAVA achieves a high correlation score of 7.9996. The proposed algorithm successfully passes the National Institute of Standards and Technology (NIST) analysis, demonstrating a remarkably strong correlation close to 0 and a Structural Similarity Index Measure (SSIM) of 0.9977. Furthermore, regarding quantum communication, the proposed algorithm maintains stable key rates of 47.5 ± 0.8 kHz during the day and 50.9 ± 0.7 kHz at night. Additionally, PanAAVA achieves low Quantum Bit Error Rate (QBER) values of 4.77 ± 0.02, ensuring reliable and secure communication. The PanAAVA also demonstrates robust asymmetries at 49.81 ± 0.02 and 50.14 ± 0.03 for a crystal length of 20 mm. highlighting PanAAVA’s adaptability and effectiveness in different scenarios. PanAAVA outperforms other encryption algorithms concerning performance measurements and comparisons. In conclusion, the PanAAVA emerges as a beacon of superior security capabilities and innovation in image encryption, showcasing the potential to redefine standards in the field.

show abstract

Lightweight image encryption algorithm using NLFSR and CBC mode

Kumari

Mondal

2023

J Supercomput

View full text Add to dashboard Cite

Improved affine encryption algorithm for color images using LFSR and XOR encryption

Cited by 6 publications

References 26 publications

A color image encryption scheme based on cellular neural networks and linear feedback shift registers

A color image encryption scheme based on cellular neural networks and linear feedback shift registers

An innovative image encryption algorithm enhanced with the Pan-Tompkins Algorithm for optimal security

Lightweight image encryption algorithm using NLFSR and CBC mode

Contact Info

Product

Resources

About