DNA-Based Steganography Using Neural Networks

M. H. Mohammed, A. Taloba, Botheina H. Ali
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引用次数: 1

Abstract

Steganography is the art or the science of hiding information such as text, audio, video, etc. in another cover media such as text, audio, video and recently the information is hidden in deoxyribonucleic acid (DNA) sequences which have been become a cover medium for steganography. In this paper, a high secured, a high capacity, preserved algorithm is proposed for hiding data in DNA without affecting its functionality or its type. The proposed algorithm is developed using a Neural Network algorithm and the least significant bit (LSB) of the DNA codon to give a lowest cracking probability and a lower execution time. The secret messages are hidden inside the reference DNA sequence and the performance is measured by calculating the cracking probability, capacity, payload and bpn.
基于dna的神经网络隐写技术
隐写术是将文本、音频、视频等信息隐藏在文本、音频、视频等另一掩护媒介中的一门艺术或科学,最近将信息隐藏在脱氧核糖核酸(DNA)序列中成为隐写术的一种掩护媒介。在本文中,提出了一种高安全、高容量、保存的算法,用于在不影响DNA功能或类型的情况下隐藏DNA中的数据。该算法采用神经网络算法和DNA密码子的最低有效位(LSB)来提供最低的破解概率和更短的执行时间。将秘密信息隐藏在参考DNA序列中,通过计算破解概率、容量、有效载荷和bpn来衡量性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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