Super Encryption using Transposition-Hill Cipher for Digital Color Image

Author(s):  
Vike Maylana Putrie ◽  
Christy Atika Sari ◽  
De Rosal Ignatius Moses Setiadi ◽  
Eko Hari Rachmawanto
Keyword(s):  
2019 ◽  
Vol 148 ◽  
pp. 399-408 ◽  
Author(s):  
Said Hraoui ◽  
Faiq Gmira ◽  
M.Fouad Abbou ◽  
A.Jarrar Oulidi ◽  
Abdellatif Jarjar

Author(s):  
Rama Aria Megantara ◽  
Fauzi Adi Rafrastara ◽  
Syafrie Naufal Mahendra

The progress of the development of digital technology today, many people communicate by sending and receiving messages. However, along with extensive technological developments, many crimes were committed. In avoiding these crimes, data security needs to be done. Form of data security in the form of cryptography and steganography. One of the cryptographic techniques is the hill cipher algorithm. Hill ciphers include classic cryptographic algorithms that are very difficult to solve. While the most popular steganography technique is Least Significant Bit (LSB). Least Significant Bit (LSB) is a spatial domain steganography technique using substitution methods. This study discusses the merging of message security with hill cipher and LSB. The message used is 24-bit color image for steganography and text with 32, 64 and 128 characters for cryptography. The measuring instruments used in this study are MSE, PSNR, Entropy and travel time (CPU time). Test results prove an increase in security without too damaging the image. This is evidenced by the results of the MSE trial which has a value far below the value 1, the PSNR is> 64 db, the entropy value ranges from 5 to 7 and the results of travel time <1 second.


2015 ◽  
Vol 10 (11) ◽  
pp. 1127
Author(s):  
Nidaa Hasan Abbas ◽  
Sharifah Mumtazah Syed Ahmad ◽  
Wan Azizun Wan Adnan ◽  
Abed Rahman Bin Ramli ◽  
Sajida Parveen

2019 ◽  
Vol 2019 (1) ◽  
pp. 95-98
Author(s):  
Hans Jakob Rivertz

In this paper we give a new method to find a grayscale image from a color image. The idea is that the structure tensors of the grayscale image and the color image should be as equal as possible. This is measured by the energy of the tensor differences. We deduce an Euler-Lagrange equation and a second variational inequality. The second variational inequality is remarkably simple in its form. Our equation does not involve several steps, such as finding a gradient first and then integrating it. We show that if a color image is at least two times continuous differentiable, the resulting grayscale image is not necessarily two times continuous differentiable.


2018 ◽  
Vol 2018 (16) ◽  
pp. 296-1-296-5
Author(s):  
Megan M. Fuller ◽  
Jae S. Lim
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document