ABSTRACT
This chapter compares the statistical analysis tests of the Data Encryption Standard, Advanced Encryption Standard and Rubik’s cube encryption algorithm. Cryptography means keeping the information secret, hidden or concealed—the efficient transmission of image and security based on cryptography. Statistical analysis tests are used to quantify the quality of encryption techniques. The quality of the encrypted images is measured by using metrics, namely, Histograms, Number of Pixel Changing Rate, Unified, Entropy, Correlation Coefficient Visual inspection and Speed Test. In the image encryption algorithm, the concept of entropy analysis was introduced by O. Edward. For Rubik’s cube, the value of entropy is very close to the theoretical value of 8-bits in the case all the three images. The ciphertext images obtained using the Rubik’s Cube encryption algorithm has values of the correlation coefficient are very close to zero in all directions, which means that the adjacent pixels are very weakly correlated.
