Employing LSB and VQ for undetectable secret data hiding

Cheng Ta Huang, Wei Jen Wang, Min Yi Tsai, Chin Feng Lee

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations


Data confidentiality is a critical issue in today's computing environment. When data are exchanged via ubiquitous computing devices, they become even more vulnerable to malicious people since eavesdropping are easy. Data hiding, a technique to hide data into cover media, can reduce the risks of eavesdropping. In this paper, we propose a steganographic scheme based on vector quantization (VQ) that employs the least significant bit (LSB) method to hide secret data. The proposed data hiding scheme produces stego-images with high quality that can pass the attackers' detections. The experimental results show that the stego-images have higher PSNRs than that the original VQ-images do. The proposed scheme is significantly superior to related studies in terms of embedding capacity and image visual quality.


Conference9th IEEE International Conference on Ubiquitous Intelligence and Computing, UIC 2012 and 9th IEEE International Conference on Autonomic and Trusted Computing, ATC 2012


  • Data hiding
  • Least significant bit
  • Steganalysis
  • Vector quantization


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