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Secrets in Preamble: Practical and Robust PHY Information Hiding for Wi-Fi

arXiv cs.CRby Rui Pan ()1 min read1
AI summary · grok-4.7Summaries by Vani AI

Researchers embed 46 secret bits in Wi-Fi L-STF preambles with neural networks without breaking packet detection.

The paper hides data in the Wi-Fi legacy short training field while preserving autocorrelation needed for packet detection and coarse frequency-offset compensation. Paired neural networks learn embedding and extraction rules to increase steganographic capacity. Indoor and outdoor prototype tests reliably carry 46 secret bits per packet across varied channel conditions.

Key facts
  • Secrets are embedded in the Wi-Fi legacy short training field.
  • Autocorrelation for detection and coarse frequency offset is preserved.
  • A hardware prototype reliably carries 46 bits indoors and outdoors.
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From the original article

1 min read at arxiv.org

Physical layer (PHY) information hiding refers to the concealment of secrets within PHY waveforms without compromising the integrity of the primary communication link, thereby enabling critical applications such as covert communication, PHY steganography, and watermarking. The widespread deployment of Wi-Fi has motivated substantial research interest in hiding secrets within Wi-Fi waveforms.

arXiv cs.CR

By Rui Pan · arxiv.org

Read the full article at arXiv cs.CR

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.