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Information Hiding Scheme For Digital Images Using Difference Expansion And Modulus Function

المصدر: مجلة جامعة الملك سعود - علوم الحاسب والمعلومات
الناشر: جامعة الملك سعود
المؤلف الرئيسي: Maniriho, Pascal (Author)
مؤلفين آخرين: Ahmad, Tohari (Co-Author)
المجلد/العدد: مج31, ع3
محكمة: نعم
الدولة: السعودية
التاريخ الميلادي: 2019
الصفحات: 335 - 347
DOI: 10.33948/0584-031-003-007
ISSN: 1319-1578
رقم MD: 974690
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: science
مواضيع:
كلمات المؤلف المفتاحية:
Confidential Data | Data Hiding | Data Protection | Difference Expansion | Information Security
رابط المحتوى:
صورة الغلاف QR قانون
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المستخلص: Disguising the presence of communication has become a severe concern in this highly digitalized world due to the unauthorized data access and network policy violations that are emerging rapidly. These issues have led to the application of cryptography technique as a mean for securing data by encrypting them. However, since the encrypted data can be seen by sophisticated intruders during the transmission, this may lead to its suspicion which can results in unauthorized access. Thereby, steganography is another technique for securing communication. Steganography is the practice of concealing confidential information in the codes that make up digital files. Different from encryption, however, steganography provides security by disguising the presence of communication. In this context, this paper presents an improved information hiding implemented based on difference expansion and modulus function. The previous method has only considered the image smooth areas where the difference value is 0 or 1 while ignoring other values for hiding data. These limitations may result in decreasing the embedding capacity for all images having few smooth areas. Hence, a new scheme that considers both positive and negative difference values to conceal secret data is developed. The experimental results prove that the proposed scheme achieves better results than the existing methods. ©2018 The Authors. Production and hosting by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc nd/4.0/).

ISSN: 1319-1578

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