Publications
-
A Novel Octuple Images Encryption Algorithm Using Chaos in Wavelet Domain
Springer
The advancements in the network and multimedia technologies have made information security more exigent and demanding. It brings new challenges to develop security methods that are credential enough to encrypt a number of images and generate a single encrypted image containing the information of all plain-images. Here, we propose a novel image encryption algorithm which has the efficacy of encrypting eight distinct plain-images simultaneously. Low frequency components of plain-images are…
The advancements in the network and multimedia technologies have made information security more exigent and demanding. It brings new challenges to develop security methods that are credential enough to encrypt a number of images and generate a single encrypted image containing the information of all plain-images. Here, we propose a novel image encryption algorithm which has the efficacy of encrypting eight distinct plain-images simultaneously. Low frequency components of plain-images are selected and processed. The algorithm makes use of three chaotic systems to get visual effect of disorder, distorted and indistinguishable single encrypted image. The encryption/decryption processing operations such as chaos-based circular rotation and random mixing of pixels are carried out in wavelet domains. The one-dimensional chaotic maps are used to generate two chaotic key images needed for circular rotation. A two-dimensional chaotic map is employed for randomly shuffling the coefficients matrix received after mixing. The performance of proposed algorithm is analyzed through experimentation against pixels correlation, peak signal to noise ratio, key sensitivity and key space. It is found that the simulation results validate the effectiveness of the proposed octuple images encryption algorithm.
Other authorsSee publication -
A Ridgelet Based Symmetric Multiple Image Encryption in Wavelet Domain Using Chaotic Key Image
Springer
In this paper, a novel symmetric multiple image encryption algorithm is proposed. The scheme exploits the features of discrete wavelet transform, finite ridgelet transform and chaotic maps in a way to achieve completely distorted and meaningless single encrypted image which secretly contains the information of the original images. The four original images are first transformed in wavelet domain followed by the finite ridgelet transformations of their HH bands to get two combined transformed…
In this paper, a novel symmetric multiple image encryption algorithm is proposed. The scheme exploits the features of discrete wavelet transform, finite ridgelet transform and chaotic maps in a way to achieve completely distorted and meaningless single encrypted image which secretly contains the information of the original images. The four original images are first transformed in wavelet domain followed by the finite ridgelet transformations of their HH bands to get two combined transformed matrices. This on pixel values rotation using chaotic key image, mixing and then their shuffling using random sequences results into a final encrypted image. The piece-wise linear chaotic map and 2D gingerbreadman chaotic map are utilized to generate the chaotic key image and shuffling sequences, respectively. The encrypted image is highly distorted and meaningless for a casual observer. The mean square error between the pairs of decrypted and original images is less than 0.004. Moreover, the experimental results and simulation analyses show that the scheme has the advantage of low correlation factor, high key sensitivity and large key space.
Other authorsSee publication
Other similar profiles
-
Dilip Kumar Kola
Dilip Kumar Kola
-
Prashant Gupta
Prashant Gupta
-
Arunangshu Bhakta
Arunangshu Bhakta
-
Kanika Mishra
Kanika Mishra
-
Saurabh Saxena
Saurabh Saxena
-
Ashutosh Singla
Ashutosh Singla
-
Pulkit Goyal Jain
Pulkit Goyal Jain
-
shavinder singh
shavinder singh
-
Aniket Anandani
Aniket Anandani
Explore collaborative articles
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Explore More