Key Generation for Vigenere Ciphering Based on Genetic Algorithm

Hussein, Asraa Abdullah; Ayoob, Noor Kadhim

doi:10.29196/jubpas.v30i1.4134

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…Garg et al [ 28 ] suggested a genetic algorithm and DNA cryptography-based encryption scheme for Fog Networks. Hussein and Ayoob [ 29 ] came up with a secure key generation scheme to enhance Vigenere Cipher using the concepts of GA.…”

Section: Related Workmentioning

confidence: 99%

Best Fit DNA-Based Cryptographic Keys: The Genetic Algorithm Approach

Mukherjee

Garg

Pradhan

et al. 2022

Sensors

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DNA (Deoxyribonucleic Acid) Cryptography has revolutionized information security by combining rigorous biological and mathematical concepts to encode original information in terms of a DNA sequence. Such schemes are crucially dependent on corresponding DNA-based cryptographic keys. However, owing to the redundancy or observable patterns, some of the keys are rendered weak as they are prone to intrusions. This paper proposes a Genetic Algorithm inspired method to strengthen weak keys obtained from Random DNA-based Key Generators instead of completely discarding them. Fitness functions and the application of genetic operators have been chosen and modified to suit DNA cryptography fundamentals in contrast to fitness functions for traditional cryptographic schemes. The crossover and mutation rates are reducing with each new population as more keys are passing fitness tests and need not be strengthened. Moreover, with the increasing size of the initial key population, the key space is getting highly exhaustive and less prone to Brute Force attacks. The paper demonstrates that out of an initial 25 × 25 population of DNA Keys, 14 keys are rendered weak. Complete results and calculations of how each weak key can be strengthened by generating 4 new populations are illustrated. The analysis of the proposed scheme for different initial populations shows that a maximum of 8 new populations has to be generated to strengthen all 500 weak keys of a 500 × 500 initial population.

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Section: Related Workmentioning

confidence: 99%

Best Fit DNA-Based Cryptographic Keys: The Genetic Algorithm Approach

Mukherjee

Garg

Pradhan

et al. 2022

Sensors

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show abstract

“…By considering the local relationships between agents, ABMs can simulate how simple the interactions between agents can give rise to complex patterns of behavior at the system level. These powerful characteristics have motivated the use of ABM in several applications, such as characterization of the immune system [28], social behavior [29], [30], image processing [31], image colorization [32], fire spreading [33], and spread in epidemics [34], among others [35], [36], [37].…”

Section: Introductionmentioning

confidence: 99%

Image Segmentation by Agent-Based Pixel Homogenization

et al. 2023

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Image segmentation is the process of partitioning an image into multiple regions or objects, each representing a coherent and meaningful part of the image. Segmentation methods are highly sensitive to the lack of homogeneity in regions or objects owing to noise and intensity inconsistencies. Under such conditions, most approaches exhibit poor quality performance. This paper proposes an agent-based model approach for homogenization of images to reduce the presence of noisy pixels and undesirable artifacts. In our approach, each pixel in the image represents an agent, and a set of rules evaluates the states of neighboring agents to modify the intensity values of each pixel iteratively until different regions from the image assume homogeneous grayscale levels. The proposed method has been used in combination with the Otsu's method to evaluate its performance in image segmentation. The approach was evaluated with different types of images considering their homogeneity. Experimental results indicated that the proposed approach produces better-segmented images in terms of quality and robustness.

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Key Generation for Vigenere Ciphering Based on Genetic Algorithm

Cited by 2 publications

References 4 publications

Best Fit DNA-Based Cryptographic Keys: The Genetic Algorithm Approach

Best Fit DNA-Based Cryptographic Keys: The Genetic Algorithm Approach

Image Segmentation by Agent-Based Pixel Homogenization

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