چكيده به لاتين
Abstract
The general purpose of this thesis is to prove the inefficiency of the Pearson correlation coefficient and introduce a better alternative to check the security of image encryption by using a series of statistical and combined (include Segmentation and Steganography) methods. so, we described Pearson's correlation coefficient inefficiency for analyzing the relationship between an image and encrypted one. Also, the information index was investigated as a suitable substitute for Pearson correlation coefficient. However, this weakness is independent of the encryption system of the image encryption, but encryption algorithm such as AES has been used for laboratory calculations and so for more accurate examination of these system, other standards for encryption analyzing of the image were calculated. The general structure of this thesis is to first introduce a brief overview of the methods to be used and finally with several examples apply these methods and concluding them. We introducing chapters by this arrangements:in the first chapter, Segmentation, in the second chapter, Cryptography and Steganography, in the third chapter, Statistical methods, in the fourth chapter calculations, and finally in the fifth chapter, conclusion and concludes.
Key words: Segmentation , Image encryption , Steganography , Dependence index , Pearson correlation
