JPG تقنيتي آلة المتجه الداعم ومميز فيشر الخطي للكشف عن الإخفاء في

المؤلفون

  • سماح فخري عزيز
  • أحمد سامي نوري

الكلمات المفتاحية:

Steganography, Support Vector Machine (SVM), Fisher Linear Discriminator (FLD), Steganalysis, Detection rate, JPG images.

الملخص

Steganography is considered as the new and the complementary
system of Cryptography that took a long time in transferring secret and
important messages through the networks and the Internet. Then there
was the emergence of what complements Steganography as a science
that analysis and discover the content of the secret messages and this
science is (Steganalysis).
For Steganalysis in colored images, the work relied on two
important technologies; the first is called Support Vector Machine
(SVM) and the second is called Fisher Linear Discriminator (FLD). The
SVM technology has been used with the (blind) application idea while
FLD has been used with the (blind and non-blind) application ideas
using best type of colored images JPG.
Results proved the high efficiency of the two technologies in
detecting the image that includes the secret messages and comparisons
were varied between the two technologies in terms of detection rate, fault
and the execution time.

التنزيلات

منشور

2023-01-30

كيفية الاقتباس

سماح فخري عزيز, & أحمد سامي نوري. (2023). JPG تقنيتي آلة المتجه الداعم ومميز فيشر الخطي للكشف عن الإخفاء في . مجلة بحوث مستقبلية. استرجع في من https://pr.hu.edu.iq/index.php/pr/article/view/344

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