تقنية الإخفاء في صور WebP باستخدام خوارزمية M2PAM لتطبيقات الوسائط الاجتماعية
WebP Image Steganography Using M2PAM Algorithm for Social Media Application
- الباحث
- عمر عبد نجم عبودي النعيمي
- المشرف
- أحمد سامي نوري
- الجامعة
- جامعة الموصل
- الكلية / القسم
- كلية علوم الحاسوب والرياضيات / علوم الحاسوب
- الشهادة
- ماجستير
- السنة
- 2022
- لغة الرسالة
- عربي
- الكلمات المفتاحية
- الإخفاء ; صور WebP ; خوارزمية M2PAM ; وسائل التواصل الاجتماعي
Abstract
ملحق1 The center of social communication is characterized by the abundance of communications and the large number of data sent through it, which calls for protecting it from unauthorized persons, and this requires us to maintain its confidentiality, so it was necessary to follow the best protection models. Confidential information in a vector such as images, audio files and video files so that it cannot be noticed. The science of steganography is one of the most effective methods of data protection, although there are many steganography algorithms, but the gap is still big in terms of adopting highly efficient technologies. This message presents a method to hide confidential data based on the algorithm (Mod 2 Plus Average Method (M2PAM in Red (R), Green (G), Blue (B), Alpha (A)) using an android application which is designed In the environment of (Android Studio) through the Java programming language and based on images in WebP format, commonly used in social media applications as a medium for covering hidden data because it does not arouse suspicion and using the method of Least Significant Bit (LSB) Least Significant Bit LS. To hide the text data where the secret message was entered after being encrypted with one of the encryption methods Adleman (RSA) Asemetric Key, One Time Pad (OTP) Semitric key (Rivest Shamir) on the proposed algorithm to obtain Stego File. Where the results showed by adopting the measurements ((MSE) Mean Squared Error, Peak Signal-to-Noise Ratio (PNSR), (Q Index) Image quality index, (SSIM) Structural information change) a remarkable superiority of the proposed method over the embedding methods (M8PAM, M16PAM where the highest value for MSE was 0.001, highest value for PSNR was 77.539, highest value for Q Index was 1 and highest value for SSIM was 1 when the proposed method was applied to different number of images.
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