Detecting Wireless Steganography with Wavelet Analysis

Wonwoo Jang, Wonjun Lee

Research output: Contribution to journalArticlepeer-review

Abstract

In wireless communications, information is transmitted through a modulated waveform according to the associated modulation technique. However, there has been growing research to transmit information covertly by modulating waveforms further while pretending to be a normal transmission. Modulation-based wireless steganography techniques cause malicious information leakage without being aware of it by nearby devices. In this letter, we propose a detection scheme based on wavelet analysis with various well-known wavelets (e.g., Haar, Morlet, Shannon) to distinguish effectively between the primary channel and a channel created from the modulation-based technique. Practical experiments show that the proposed scheme can detect the modulation-based techniques at least with 93.25% accuracy under most circumstances.

Original languageEnglish
Article number9229168
Pages (from-to)383-386
Number of pages4
JournalIEEE Wireless Communications Letters
Volume10
Issue number2
DOIs
Publication statusPublished - 2021 Feb

Keywords

  • physical layer security
  • steganography
  • wavelet analysis
  • Wireless communications

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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