Self-adaptive DNA-based Steganography Using Neural Networks

Authors

Marghny H. Mohammed, Department of Computer Science, Assiut University, Assiut, EgyptFollow
Botheina H. Ali, Department of Information System, Assiut University, Assiut, EgyptFollow
Ahmed I. Taloba, Department of Information System, Assiut University, Assiut, EgyptFollow

Abstract

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).

Recommended Citation

H. Mohammed, Marghny; H. Ali, Botheina; and I. Taloba, Ahmed (2019) "Self-adaptive DNA-based Steganography Using Neural Networks," Information Sciences Letters: Vol. 8 : Iss. 1 , PP -.
Available at: https://digitalcommons.aaru.edu.jo/isl/vol8/iss1/2