Open AccessIMGTXT: Image to Text Encryption Based on Encoding Pixel Contrasts
Author(s) -
Seerwan Waleed Jirjees,
Farah Flayyeh Alkhalid
Publication year - 2022
Publication title -
mathematical modelling and engineering problems/mathematical modelling of engineering problems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.26
H-Index - 11
eISSN - 2369-0747
pISSN - 2369-0739
DOI - 10.18280/mmep.090233
Subject(s) - encryption , computer science , histogram , pixel , brute force attack , plain text , least significant bit , cryptanalysis , robustness (evolution) , image (mathematics) , artificial intelligence , computer security , computer vision , theoretical computer science , biochemistry , chemistry , gene , operating system
Nowadays, when data is exchanged over the internet, the security of data is critical in every element of life. Unauthorized network access is possible due to information transmission. As image usage increased in most communications, image privacy became an issue. Image encryption is one of the methods used to protect images online. In this paper, we proposed a new approach called IMGTXT that converts the image to text by coding the pixel values depending on locations then encrypts them by any trust encryption text algorithm, so that this method provides resistance to a variety of attacks such as histogram attacks and brute force attack. The state of the art of this research is the image is represented as a text and there is no relationship between the cipher-image and the plain image. Although this results in a large data volume. The proposed technique builds and testes on various images with different sizes, the recorded results demonstrate the technique’s efficacy and robustness to resist the brute force attack and statistical cryptanalysis of original and encrypted images.