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).
H. Mohammed, Marghny; H. Ali, Botheina; and I. Taloba, Ahmed
"Self-adaptive DNA-based Steganography Using Neural Networks,"
Information Sciences Letters: Vol. 8
, Article 2.
Available at: https://digitalcommons.aaru.edu.jo/isl/vol8/iss1/2