Applying permutations and cuckoo search for obtaining a new steganography approach in spatial domain
Nassr, Dieaa I; Khamis, Soheir;
Abstract
Video Steganography is an art and science of embedding
secret information into a carrying video file in such a
way that others cannot observe the embedded information.
Cuckoo Search (CS) is a meta-heuristic algorithm
which has been developed by Xin-She Yang and Suash
Deb in 2009. CS is very effective in solving many optimization
problems that have been found in previous literature.
In this paper, a new efficient approach for embedding
a secret image in a digital video is proposed. Generally,
any colored image consists of three color components
(Red, Green, and Blue). So, an image’s pixel has three
bytes; each of which belongs to one different color component.
For security purposes, each secret image’s color
component is embedded separately into a selected cover
video’s frame. The proposed approach is based on the
permutations on 3 sections of a secret byte, 3-3-2 bits.
These three sections are permuted to obtain five different
patterns of a specified secret byte. Then, the population
of five different pairs is built; each pair consists of
one different pattern repeated twice. Good pixels are so
chosen via using CS algorithm to achieve the minimum
distortion in carrier pixels due to embedding. The sum of
absolute values of sectional differences is used as an objective
function to compare all the distances between the
3-3-2 Least Significant Bit (LSB) values of a cover frame’s
pixel and the generated different patterns of a specified
secret byte. Experimental results show that the efficiency
of the suggested approach is successful since the Peak Signal
to Noise Ratio (PSNR) is above 52 decibels.
secret information into a carrying video file in such a
way that others cannot observe the embedded information.
Cuckoo Search (CS) is a meta-heuristic algorithm
which has been developed by Xin-She Yang and Suash
Deb in 2009. CS is very effective in solving many optimization
problems that have been found in previous literature.
In this paper, a new efficient approach for embedding
a secret image in a digital video is proposed. Generally,
any colored image consists of three color components
(Red, Green, and Blue). So, an image’s pixel has three
bytes; each of which belongs to one different color component.
For security purposes, each secret image’s color
component is embedded separately into a selected cover
video’s frame. The proposed approach is based on the
permutations on 3 sections of a secret byte, 3-3-2 bits.
These three sections are permuted to obtain five different
patterns of a specified secret byte. Then, the population
of five different pairs is built; each pair consists of
one different pattern repeated twice. Good pixels are so
chosen via using CS algorithm to achieve the minimum
distortion in carrier pixels due to embedding. The sum of
absolute values of sectional differences is used as an objective
function to compare all the distances between the
3-3-2 Least Significant Bit (LSB) values of a cover frame’s
pixel and the generated different patterns of a specified
secret byte. Experimental results show that the efficiency
of the suggested approach is successful since the Peak Signal
to Noise Ratio (PSNR) is above 52 decibels.
Other data
Title | Applying permutations and cuckoo search for obtaining a new steganography approach in spatial domain | Authors | Nassr, Dieaa I; Khamis, Soheir | Keywords | Cuckoo Search;L´evy flights;LSB;PSNR;Video Steganography | Issue Date | 1-Jan-2021 | Publisher | 捷頂科技有限公司 | Journal | International Journal of Network Security | Volume | 23 | Issue | 1 | Start page | 67 | End page | 76 | DOI | 10.6633/IJNS.202101 23(1).09 |
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