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International Conference of Reliable Information and Communication Technology

IRICT 2019: Emerging Trends in Intelligent Computing and Informatics pp 127–138Cite as

Text Steganography with High Embedding Capacity Using Arabic Calligraphy

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1073))

Abstract

Text is a challenging media for steganography due to the limited amount of redundancy bits in text and the ease of detecting minor changes in it. In linguistic steganography, the features of a language are used to hide data. The more features we have in a language, the more capacity of hiding data we can get. The Arabic language is rich in its features, many of which are still not used in text steganography. For example, Arabic calligraphy includes a variety of fonts and shapes for the Arabic alphabet. In this paper, by modifying a string matching algorithm and using suffix tree, the generation of Arabic stego text according to a secret message is implemented. The generation process is performed using a linguistic framework that utilizes Arabic calligraphy (AC-STEGA). In the presented work, multiple shapes of letters in Arabic font (Naskh) are used to increase the capacity of hiding data. This work comes as an extension of previous work to apply one shape of letters in (AC-STEGA). The evaluation showed an improvement in capacity of 65.4% compared to 25.4% presented in previous work. To satisfy security requirement, we did not use cover, the cover represents the secret message itself.

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Author information

Authors and Affiliations

  1. Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Ali A. Hamzah & Hanaa Bayomi

Authors
  1. Ali A. Hamzah
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  2. Hanaa Bayomi
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Corresponding author

Correspondence to Ali A. Hamzah .

Editor information

Editors and Affiliations

  1. College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia

    Faisal Saeed

  2. School of Computing, Universiti Utara Malaysia (UUM), Sintok, Kedah Darul Aman, Malaysia

    Fathey Mohammed

  3. Management of Information Systems Department College of Business Administration, Taibah University, Yanbu, Saudi Arabia

    Nadhmi Gazem

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Hamzah, A.A., Bayomi, H. (2020). Text Steganography with High Embedding Capacity Using Arabic Calligraphy. In: Saeed, F., Mohammed, F., Gazem, N. (eds) Emerging Trends in Intelligent Computing and Informatics. IRICT 2019. Advances in Intelligent Systems and Computing, vol 1073. Springer, Cham. https://doi.org/10.1007/978-3-030-33582-3_13

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