A Secure Steganographic Channel Using DNA Sequence Data and a Bio-Inspired XOR Cipher

Khalifa, Amal

doi:10.3390/info12060253

Cited by 6 publications

(4 citation statements)

References 25 publications

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“…This strategy holds potential for a wide array of applications, ranging from covert data transmission in genetic research to secure communication channels inspired by the very fabric of life itself. This approach not only ensures a higher level of security but also minimizes the chances of data loss or corruption during the hiding process [19][20][21].…”

Section: Protein Chainmentioning

confidence: 99%

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Enhancing Data Security: A Cutting-Edge Approach Utilizing Protein Chains in Cryptography and Steganography

Mawla,

Khafaji

2023

Computers

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Nowadays, with the increase in cyber-attacks, hacking, and data theft, maintaining data security and confidentiality is of paramount importance. Several techniques are used in cryptography and steganography to ensure their safety during the transfer of information between the two parties without interference from an unauthorized third party. This paper proposes a modern approach to cryptography and steganography based on exploiting a new environment: bases and protein chains used to encrypt and hide sensitive data. The protein bases are used to form a cipher key whose length is twice the length of the data to be encrypted. During the encryption process, the plain data and the cipher key are represented in several forms, including hexadecimal and binary representation, and several arithmetic operations are performed on them, in addition to the use of logic gates in the encryption process to increase encrypted data randomness. As for the protein chains, they are used as a cover to hide the encrypted data. The process of hiding inside the protein bases will be performed in a sophisticated manner that is undetectable by statistical analysis methods, where each byte will be fragmented into three groups of bits in a special order, and each group will be included in one specific protein base that will be allocated to this group only, depending on the classifications of bits that have been previously stored in special databases. Each byte of the encrypted data will be hidden in three protein bases, and these protein bases will be distributed randomly over the protein chain, depending on an equation designed for this purpose. The advantages of these proposed algorithms are that they are fast in encrypting and hiding data, scalable, i.e., insensitive to the size of plain data, and lossless algorithms. The experiments showed that the proposed cryptography algorithm outperforms the most recent algorithms in terms of entropy and correlation values that reach −0.6778 and 7.99941, and the proposed steganography algorithm has the highest payload of 2.666 among five well-known hiding algorithms that used DNA sequences as the cover of the data.

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Section: Protein Chainmentioning

confidence: 99%

“…of security but also minimizes the chances of data loss or corruption during the hiding process [19][20][21].…”

Section: The Proposed Cryptography and Steganography Algorithmsmentioning

confidence: 99%

Enhancing Data Security: A Cutting-Edge Approach Utilizing Protein Chains in Cryptography and Steganography

Mawla,

Khafaji

2023

Computers

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“…While the science of steganography works on concealing a secret message inside the International Journal of Intelligent Engineering and Systems, Vol. 16 cover media (such as images, text, audio, video, and DNA) so that the attacker doesn't know where the secret message is inside the cover media, this is regarded as one of the main benefits of utilizing steganographic techniques [3,4]. The science of steganography consists of two algorithms: embedding and extracting.…”

Section: Introductionmentioning

confidence: 99%

Unprecedented Security Analysis Results for a Novel Steganography Approach Based on Protein Sequences

2023

IJIES

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With the rapid advancement of the digital network, information technology, digital libraries, and especially the services of the world wide web, many types of information can be retrieved at any time. Thus, the issue of security has become one of the most important problems in distributing new information. It is essential to protect this information while it is passing through unsecured channels. Steganography offers a powerful approach to hiding confidential data in suitable media vectors such as images, audio files, text files, and video files. In the field of steganography, the most common measurements of hiding the intended data in a cover media are hiding capacity, cracking probability, payload, and bit per nucleotide (bpn), and these measurements are considered the most of the prime challenges in the field of steganography. The main objective of this research is to provide a novel data hiding schema using protein-based steganography that provides good security performance measurement and outperforms DNA-based steganography approaches, where protein sequences are not utilized for steganography purposes. According to the proposed method, each byte of the secret message is partitioned into two 4-bit parts, and then these parts are converted into the decimal system. Finally, the decimal values of the secret message are randomly included in the cover protein sites using a pseudo random number generator (PRNG) for each cover protein base value instead of being sequentially embedded in the cover protein bases. It is considered that this random distribution increases system security. The proposed method works with a one-digit protein decimal coding rule (PDCR), and the byte of the message will be embedded in two bases of amino acids. From the experimental results, it has been found that the proposed method preserves the reference protein's original function (zero modification rate in the original protein sequence) and achieves a very high hiding capacity of 4 bpn when the sequence's bases are entirely data-embedded, a very low cracking probability, and a payload of zero. Furthermore, the proposed method saves 50% of the bandwidth compared with the other existing technique.

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“…Not only does the latest steganography techniques hide confidential information in images, but it also hide data in text [4,5], codes [6], audio [7,8], video [9] and DNA [10]. It also includes hiding information in different formats such as Hyper Text Mark-up Language (HTML) [1].…”

Section: Introductionmentioning

confidence: 99%

A new steganography technique based on genetic algorithm

Shahbaa Mohammed Abdulmaged,

Nadia Mohammed Abdulmaged

2023

Global J. Eng. Technol. Adv.

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As technology grows, it affect our daily lives becomes more penetrating. Our private information may be violated when communications media are used, to achieve information security this paper was based on a new technique of steganography using cryptography, color model and genetic algorithm. First, the secret text was encrypted with the advanced encryption standard (AES) algorithm. Second, the hiding was applied in two stages. First, the cover-image was converted in to the hue saturation intensity (HSI) color model and select one of the models, then divide it into a group of blocks and hiding the text in them by using least significant bit (LSB) method on specified bytes randomly, then using the genetic algorithm that calculates peak signal-to-noise-ratio (PSNR) for all blocks after the hiding process and thus obtain the best value for PSNR for the optimal block. Second, includes the final hiding of all blocks based on the results of the first stage of the best random distribution of bytes according to the results of the genetic algorithm. The PSNR and mean square error (MSE) measures were adopted to prove the accuracy and efficiency of the results.

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A Secure Steganographic Channel Using DNA Sequence Data and a Bio-Inspired XOR Cipher

Cited by 6 publications

References 25 publications

Enhancing Data Security: A Cutting-Edge Approach Utilizing Protein Chains in Cryptography and Steganography

Enhancing Data Security: A Cutting-Edge Approach Utilizing Protein Chains in Cryptography and Steganography

Unprecedented Security Analysis Results for a Novel Steganography Approach Based on Protein Sequences

A new steganography technique based on genetic algorithm

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