Adaptive Steganographic Technique For Digital Images Based On The Least Significant Bit Substitution
DOI:
https://doi.org/10.26740/vubeta.v2i3.40143Keywords:
Information hiding, Image steganography , Histogram analysis , Image quality assessment metrics, Least Significant BitAbstract
It has become natural to retain most of the information electronically, due to developments and improvements in information and communication technology. Thus, information security has become a major problem. Aside from cryptography, two strategies could be utilized to share information in a secure manner. Cryptography and steganography are two of these mechanisms. Using an encryption key known to both the receiver and the sender, the message is encrypted. Without the encryption key, no one will be able to read the message. Consequently, we offer a method that is efficient and based on the Least Significant Bit (LSB) to address this problem. Improved dependability is attained by employing the LSB substitution approach, which reduces the embedding error rate. Utilizing LSB substitution in conjunction with MLEA, Secret Key (SK), transposition, and flipping, we present an algorithm for image-based steganography. Our suggested method is effective and produces efficient outcomes, as demonstrated by multiple experiments. We used a number of Quality Assessment Metrics (QAMs) to evaluate 125 unique RGB images with varying degrees of hidden information, including things like PSNR, Contrast, and Image Histogram (IH). In addition to security analysis, we compared our results to those of other approaches that were already in use and found that ours were superior. The result shows a considerable improvement over the advanced techniques currently available.
Author Biographies
Ekhlas Ghaleb Abdulkadhim Ghlai, Collage of Tourism Sciences, University of Kerbala, Kerbala, Iraq.
Ekhlas Ghaleb Abdulkadhim is a lecturer Collage of Tourism Sciences, University of Kerbala, Kerbala, IRAQ. She is received the BSc from University of Technology Department of Computer sciences, Information system, Iraq in 2006. She is received the M.S.C. from Ferdowsy University of Computer Engineering, in 2018. She is mainly research in the computer systems and Software engineering. She can be contacted at email: ekhlas.g@uokerbala.edu.iq.
Zaman Mahdi Abbas, Collage of Tourism Sciences, University of Kerbala, Kerbala, Iraq
Zaman Mahdi is a lecturer in Tourism Sciences, University of Kerbala, Kerbala , Iraq. She is received the BSc from AlMustensiriyah Engineering College (MIC) in Computer and Software Engineering, Iraq in 2010. She is received the M.Eng from ALTINBAS University ( AU) in Elecrical and Computer Engineering, Turkey in 2019. She is mainly research in the computer systems and Image processing. She can be contacted at email: zaman.m@uokerbala.edu.iq.
Muqdad Abdulraheem Hayder, College of Education for Human Sciences, University of Kerbala, Kerbala Iraq
Muqdad Abdulraheem Hayder is a lecturer in College of Education for Human Sciences, University of Kerbala, Kerbala IRAQ He is received the BSc from University of Technology Department of Computer sciences, Information system, Iraq in 2000. He is received the M.S.C from Ferdowsy University of Computer Engineering, in 2019. He is mainly research in the computer systems and Software engineering. He can be contacted at email: muqdad.a@uokerbala.edu.iq
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