Image Encryption using Pseudo Random Number Generators

Abstract

Image encryption is conversion of image to a distorted form so that it can be secured from unauthorized users. This paper implements and investigates two methods for image encryption. First technique is encryption of image by linear congruential generator. Random numbers are generated by Linear congruential generator. These numbers are used as index for shuffling of rows, columns and pixels of an image. Second technique uses logistic maps to generate random number sequences. These random numbers are used as index for shuffling of rows, columns and pixels of an image. Finally we have analyzed two methods on basis of image quality parameters.

Varying PRNG to improve image cryptography implementation

“…The results obtained are representing that three generators used in encryption gave better results than other studies. In Banthia and Tiwari (2013), the lowest value by LCG is 0.0019 compared with our result, which shows the three generators of our study as better affectivity. The following three values are 0.0016,-0.0018, and -4.9958e-04 smaller correlation are the values we got compared to the other study in Banthia and Tiwari (2013) that used the LCG generator, while the value of the same study using Logistic map 9.72E-05 was the smallest compared to the results we received.…”

“…In Banthia and Tiwari (2013), the lowest value by LCG is 0.0019 compared with our result, which shows the three generators of our study as better affectivity. The following three values are 0.0016,-0.0018, and -4.9958e-04 smaller correlation are the values we got compared to the other study in Banthia and Tiwari (2013) that used the LCG generator, while the value of the same study using Logistic map 9.72E-05 was the smallest compared to the results we received. When comparing our results with the second study (Rohith et al, 2014), all the generators we used gave the smallest values compared to the Logistic map method.…”

“…Table 25shows the differences in results with other studies. In the (Banthia and Tiwari, 2013) study, the LCG method obtained several readings of the MSE and PSNR results; the highest detected result for MSE is 7.43E03 and for PSNR, it is 9.4206. Comparing the LCG result with our results suggests that our four generators gave better results in measuring MSE and PSNR values.…”

“…In Banthia and Tiwari (2013), the study shows the encryption of images using random generators. They identified two random generators to encrypt images, linear congruential generator, and Logistic map.…”

Color Image Encryption Using Hybrid Method of Fractal-Based Key and Private XOR Key

“…At present, many image encryption algorithms are produced [3][4][5][6] trying to convert the image to unintelligible form that is hard to understand. The term "Fractal" was proposed by…”