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基于混合、随机且高容量保守突变DNA的大容量数据隐写术

Hybrid, randomized and high capacity conservative mutations DNA-based steganography for large sized data.

作者信息

Hamed Ghada, Marey Mohammed, Amin Safaa El-Sayed, Tolba Mohamed Fahmy

机构信息

Department of Scientific Computing, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt.

Department of Scientific Computing, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt.

出版信息

Biosystems. 2018 May;167:47-61. doi: 10.1016/j.biosystems.2018.03.003. Epub 2018 Mar 30.

Abstract

In this paper, a well secured, high capacity, preserved algorithm is proposed through integrating the cryptography and steganography concepts with the molecular biology concepts. We achieved this by first encrypting the confidential data using the DNA Playfair cipher to avoid extra information sent to the receiver and it consequently acts as a trap for an attacker. Second, it achieves a randomized steganography process by exploiting the DNA conservative mutations. The DNA conservative mutations are utilized in a way that allows a DNA base to be substituted by another base to allow carrying two bits. Consequently, a high capacity feature is obtained with no payload for the used sequence. There are three main achieved contributions in this work. First, is hiding high capacity of data within DNA by exploiting each codon to hide two bits whilst preserving the sequence properties of protein after the steganography process, which is a trade off in the field. Secondly, using the conservative mutation with all its valid biological permutations, leads to the lowest cracking probability achieved and published till now, as proven in the security analysis section. Finally, a comparison is conducted between the proposed algorithm and five recent substitution based algorithms using large sized data up to three megabytes, to prove the algorithm's scalability.

摘要

在本文中,通过将密码学和隐写术概念与分子生物学概念相结合,提出了一种安全性良好、容量大且具有保留特性的算法。我们首先使用DNA Playfair密码对机密数据进行加密,以避免向接收者发送额外信息,从而使其成为攻击者的陷阱,以此实现上述目标。其次,通过利用DNA保守突变实现随机隐写过程。DNA保守突变的利用方式是允许一个DNA碱基被另一个碱基取代,从而能够携带两位信息。因此,在不增加所用序列有效载荷的情况下获得了高容量特性。这项工作取得了三个主要成果。首先,通过利用每个密码子隐藏两位信息,在隐写过程后保留蛋白质的序列特性,从而在DNA中隐藏高容量数据,这是该领域的一种权衡。其次,如安全分析部分所证明的,使用具有所有有效生物排列的保守突变,导致了迄今为止实现并公布的最低破解概率。最后,使用高达三兆字节的大数据,将所提出的算法与最近的五种基于替换的算法进行比较,以证明该算法的可扩展性。

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