Binary Lower Triangular Matrix based Secure Text Embedding in RGB Images

References

[1] N. Provos and P. Honeyman, “Hide and Seek: An Introduction to Steganography,” IEEE Security & Privacy, vol. 1, no. 3, pp. 32–44, May–Jun. 2003.

[2] J. Fridrich, Steganography in Digital Media: Principles, Algorithms, and Applications. Cambridge, U.K.: Cambridge University Press, 2009.

[3] R. Chandramouli and N. Memon, “Analysis of LSB Based Image Steganography Techniques,” in Proc. IEEE International Conference on Image Processing (ICIP), 2001, pp. 1019–1022.

[4] C. K. Chan and L. M. Cheng, “Hiding Data in Images by Simple LSB Substitution,” Pattern Recognition, vol. 37, no. 3, pp. 469–474, 2004.

[5] A. Westfeld and A. Pfitzmann, “Attacks on Steganographic Systems,” in Proc. 3rd International Workshop on Information Hiding, 1999, pp. 61–76.

[6] R. Crandall, “Some Notes on Steganography,” Steganography Mailing List, 1998.

[7] J. Bierbrauer, Introduction to Coding Theory. Boca Raton, FL, USA: Chapman & Hall/CRC, 2004.

[8] M. Hussain, A. W. A. Wahab, Y. I. B. Idris, A. T. S. Ho, and K. H. Jung, “Improving Embedding Efficiency of LSB Steganography Using Matrix Encoding,” International Journal of Computer Science and Network Security, vol. 10, no. 7, pp. 219–224, 2010.

[9] K. A. Navas, A. Mathews, M. Lekshmi, and T. S. Sathidevi, “High Capacity Image Steganography Using Wavelet Transform,” in Proc. IEEE International Conference on Signal Processing, 2007.

[10] J. Fridrich, M. Goljan, and D. Soukal, “Detecting LSB Steganography in Color and Grayscale Images,” IEEE Multimedia, vol. 8, no. 4, pp. 22–28, Oct.–Dec. 2001.

[11] T. Pevný, P. Bas, and J. Fridrich, “Steganalysis by Subtractive Pixel Adjacency Matrix,” IEEE Transactions on Information Forensics and Security, vol. 5, no. 2, pp. 215–224, Jun. 2010.

[12] S. Cheddad, J. Condell, K. Curran, and P. Mc Kevitt, “Digital Image Steganography: Survey and Analysis of Current Methods,” Signal Processing, vol. 90, no. 3, pp. 727–752, 2010.

[13] M. Bashardoost and M. Rahimi, “A High-Capacity Image Steganography Method Based on Matrix Encoding,” Journal of Information Security and Applications, vol. 24, pp. 1–10, 2015.

@article{1714741,
      author = {Dr. M. Pompapathi, K. Ravikiran, D. Sivaram, L. Praveen, K. Parasuram},
      title = {Binary Lower Triangular Matrix based Secure Text Embedding in RGB Images},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {8},
      pages = {2139-2144},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1714741.pdf},
      abstract = {Text steganography is an efficient method of hidden communication, where the secret text message is embedded into digital images. In this paper, a new method of embedding a text message into an RGB image using a Binary Lower Triangular Matrix (BLTM) is proposed. In the proposed method, the encrypted text bits are embedded into the least significant bits of the RGB components of the image using matrix-based XOR operations. The proposed method improves the security of text embedding while maintaining the image quality. A graphical user interface has been developed using Python.},
      keywords = {Text Steganography, RGB Image, BLTM, LSB Substitution, Secure Data Hiding},
      month = {February},
      doi = {https://doi.org/10.64388/IREV9I8-1714741}
  }