A SYSTEMATIZED APPROACH TO DATA HIDING USING IMPROVED LSB

Authors

  • Ganesh R NMSSVN College, Madurai-625009, Tamilnadu, India
  • Thabasu Kannan S Pannai College of Engg& Tech, Sivagangai – 630 561, Tamilnadu, India

DOI:

https://doi.org/10.58973/CTRJ.232136

Keywords:

LSB , PSNR, FNR (False Negative Rate), Sensitivity, Specificity

Abstract

Aim: This paper mainly focused on introducing a new framework for image and text hiding using a simple Least Significant Bit (LSB) substitution method. 

Results: Six 24-bit images are used as reference images. XOR operation is used in the stego key to generate new bit planes of the stego images. An RGB color image is used as a secret cover image. The proposed method dramatically increases the embedding capacity without significantly decreasing the Peak Signal-to-Noise Ratio (PSNR) value. 

Conclusion: This method increased the compression ratio, embedding ratio, PSNR and Space 24%, 53%, 36% and 47%, respectively. The result shows that the newly developed method improved the value of accuracy by 30% and sensitivity by 16% for the hidden images.

 Keywords: LSB, PSNR, FNR (False Negative Rate), Sensitivity, MSE (Mean Square Error), Specificity

HIGHLIGHTS:

  1. The newly developed method with simple Least Significant Bit (LSB) improved the accuracy value by 30%, and sensitivity by 16% for the hidden image.
  2. The improved LSB method increased security and preserved the quality of hidden images.

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Published

2022-12-02

How to Cite

R, G., & S, T. K. (2022). A SYSTEMATIZED APPROACH TO DATA HIDING USING IMPROVED LSB. Computing Technology Research Journal, 2(1), 36–39. https://doi.org/10.58973/CTRJ.232136

Issue

Vol. 2 No. 1 (2023): January: Computing Technology Research Journal

Section

Short Communication

License

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