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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Applying CRISPR-Cas9 Off-Target Editing on DNA based Steganography

Author 1: Hong Zhou Author 2: Xiaoli Huan
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 10, No. 8 · Published 2019

DOI: https://doi.org/10.14569/IJACSA.2019.0100801

Abstract

Different from cryptography which encodes data into an incomprehensible format difficult to decrypt, steganography hides the trace of data and therefore minimizes attention to the hidden data. To hide data, a carrier body must be utilized. In addition to the traditional data carriers including images, audios, and videos, DNA emerges as another promising data carrier due to its high capacity and complexity. Currently, DNA based steganography can be practiced with either biological DNA substances or digital DNA sequences. In this article, we present a digital DNA steganography approach that utilizes the CRISPR-Cas9 off-target editing such that the secret message is fragmented into multiple sgRNA homologous sequences in the genome. Retrieval of the hidden message mimics the Cas9 off-target detection process which can be accelerated by computer software. The feasibility of this approach is analyzed, and practical concerns are discussed.

Keywords

How to Cite this Article

Zhou, H., & Huan, X. (2019). Applying CRISPR-Cas9 Off-Target Editing on DNA based Steganography. International Journal of Advanced Computer Science and Applications, 10(8). https://doi.org/10.14569/IJACSA.2019.0100801

Zhou, Hong, and Xiaoli Huan. "Applying CRISPR-Cas9 Off-Target Editing on DNA based Steganography." International Journal of Advanced Computer Science and Applications, vol. 10, no. 8, 2019, https://doi.org/10.14569/IJACSA.2019.0100801.

@article{Zhou2019,
  title     = {Applying CRISPR-Cas9 Off-Target Editing on DNA based Steganography},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {10},
  number    = {8},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Hong Zhou and Xiaoli Huan},
  doi       = {10.14569/IJACSA.2019.0100801},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100801}
}

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