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Self-adaptive DNA-based Steganography Using Neural Networks |
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PP: 15-23 |
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doi:10.18576/isl/080102
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Author(s) |
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Marghny H. Mohammed,
Botheina H. Ali,
Ahmed I. Taloba,
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Abstract |
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| Steganography is the science of concealing the secret information within a digital cover-object such as the files text, image, video and etc. Recently, the deoxyribonucleic acid (DNA) sequences are used as a cover-object for data hiding. In this work, an effective algorithm called the self-adaptive DNABS (DNA-based steganography) is proposed. This algorithm is applied for data hiding without changing the function or the type of the original DNA protein. It is implemented using a DNA-based steganography and a Neural Network (backpropagation) algorithm to achieve a lower cracking probability than other techniques. The performance of the algorithm is analyzed and tested by measuring four parameters: the embedding capacity, data payload, cracking probability and the bits per nucleotide (bpn). |
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