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A Robust Audio Steganography Method Using Partial Knight Tour for Concealing Messages of Text and Image

المصدر: مجلة السعيد للعلوم الإنسانية والتطبيقية
الناشر: جامعة السعيد
المؤلف الرئيسي: Alqobaty, Abdulmalek A. S. (Author)
المجلد/العدد: مج3, ع2
محكمة: نعم
الدولة: اليمن
التاريخ الميلادي: 2019
الشهر: ديسمبر
الصفحات: 5 - 14
ISSN: 2616-6305
رقم MD: 1241427
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: EduSearch, HumanIndex
مواضيع:
كلمات المؤلف المفتاحية:
Audio Steganography | LSB | Knight Tour | Message Hiding | Image Hiding | Text and Image Hiding
رابط المحتوى:
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المستخلص: The rapid growth in transfer of data over the Internet realized the need to secured data transmission. Moreover, there is a need to send message that contains a text and image. The steganography is the most promising technique for facilitating the secure communication without affecting the data quality. In this paper, we propose a robust audio steganography approach that hides secret messages of text and image in an audio WAV file using partial knight tour positions in 4×8 square blocks. The cover audio is divided into 4 × 8 (or 32) audio sample blocks. The secret data are converted to bits and selected 4×8 audio bytes then can hide ASCII codes of 4 characters. The hiding of secret data block is based on a random selected starting audio byte, and on a random selected tour of 32 predefined tours. The algorithm changes the least significant bit (LSB) of the audio bytes based, as mentioned, on randomly selected tours and randomly selected starting audio byte. The resulted stego file can be, then, transmitted over the communication channel such as Internet to the receiver side. After receiving, the extraction process is performed to extract the secret message. The proposed algorithm is implemented using C# programming languages. The PSNR and MSE parameters are used to evaluate the efficiency of the proposed algorithm and they will be checked after implementation. The proposed technique provides a high quality of Peak Signal-to-Noise Ratwio (PSNR) and Signal to Noise Ratio (SNR).

ISSN: 2616-6305

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