
Hide text depending on the three channels of pixels in color images using the modified LSB algorithm
Author(s) -
Rusul Mohammed Neamah,
Jinan Ali Abed,
Elaf Ali Abbood
Publication year - 2020
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v10i1.pp809-815
Subject(s) - computer science , encryption , least significant bit , cover (algebra) , information hiding , rgb color model , xnor gate , confidentiality , channel (broadcasting) , steganography , computer security , pixel , advanced encryption standard , algorithm , computer network , artificial intelligence , image (mathematics) , mechanical engineering , nand gate , engineering , operating system
At the moment, with the great development of information and communications technology, the transfer of confidential and sensitive data through public communications such as the Internet is very difficult to keep them from hackers and attackers. Therefore, it is necessary to work on the development of new and innovative ways to transfer such information and protect it to ensure that it reaches the desired goal. The goal of a new technique to hide information design not only hides the secret message behind the center cover, but it also provides increased security. The most common way to transfer important and confidential data is through embedding it into cover medium files in a way that does not affect the accuracy of the carrier file, which is known as hiding. In this paper, encryption and concealment techniques were used to protect data transferred from attackers. The proposed method relied on encryption of confidential information using the encryption key and the Xnor gate, after which the encrypted information was hidden in a color image using the LSB algorithm. The method of concealment depends on the extraction of chromatic channels of three RGB for each pixel and specifying the channel in which the bit of the encryption message will be hidden. Some metrics have been adopted to measure the quality of the resulting picture after hiding as PSNR and MSE, and achieve good results.