Silent Mutation for Gray-Scale Image Encryption
Nada H. Sharkawy; Afify, Yasmine M.; Walaa Gad; Nagwa Badr;
Abstract
Data embedding into DNA is a conventional encryption technology since it gives the system
security and consumes less energy. This work proposes a model that uses the silent mutation method to
apply data embedding into DNA within an encryption model. To produce the key, hash functions are
applied first to the original image and its metadata followed by the Arnold Transform technique. The
key is then sent to LLCS, which uses it to produce a series of coding rules, and transmitted to HCS,
which uses it to generate three chaotic sequences. Five chaotic maps are then used to diffuse the output
image of the Arnold Transform. DNA operations are applied to the final image using the chaotic HCS
sequences followed by the coding rules sequence. After the image has been decoded and silently mutated
into a gene sequence, the altered gene is then obtained. Seven evaluation measures are used on ten
grayscale images incorporated with two DNA sequences to assess the proposed model's performance.
Results indicate a positive improvement in performance as a result of the model's increased security.
security and consumes less energy. This work proposes a model that uses the silent mutation method to
apply data embedding into DNA within an encryption model. To produce the key, hash functions are
applied first to the original image and its metadata followed by the Arnold Transform technique. The
key is then sent to LLCS, which uses it to produce a series of coding rules, and transmitted to HCS,
which uses it to generate three chaotic sequences. Five chaotic maps are then used to diffuse the output
image of the Arnold Transform. DNA operations are applied to the final image using the chaotic HCS
sequences followed by the coding rules sequence. After the image has been decoded and silently mutated
into a gene sequence, the altered gene is then obtained. Seven evaluation measures are used on ten
grayscale images incorporated with two DNA sequences to assess the proposed model's performance.
Results indicate a positive improvement in performance as a result of the model's increased security.
Other data
Title | Silent Mutation for Gray-Scale Image Encryption | Authors | Nada H. Sharkawy; Afify, Yasmine M. ; Walaa Gad; Nagwa Badr | Keywords | DNA;Data Embedding;Image Encryption;Least Significant Base Substitution (LSBase);Silent Mutation | Issue Date | 10-Dec-2023 | Journal | International Journal of Intelligent Computing, and Information Sciences (IJICIS) | Volume | 23 | Issue | 4 | Start page | 112 | End page | 127 | DOI | 10.21608/ijicis.2023.227726.1287 |
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