Detecting Wireless Steganography with Wavelet Analysis

Wonwoo Jang; Wonjun Lee

doi:10.1109/LWC.2020.3032032

Detecting Wireless Steganography with Wavelet Analysis

Wonwoo Jang, Wonjun Lee

School of Cybersecurity

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

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 language	English
Article number	9229168
Pages (from-to)	383-386
Number of pages	4
Journal	IEEE Wireless Communications Letters
Volume	10
Issue number	2
DOIs	https://doi.org/10.1109/LWC.2020.3032032
Publication status	Published - 2021 Feb

Bibliographical note

Funding Information:
Manuscript received September 11, 2020; accepted October 13, 2020. Date of publication October 19, 2020; date of current version February 9, 2021. This work was supported by the NRF of Korea grant funded by the Korea Government (MSIT) under Grant 2019R1A2C2088812. The associate editor coordinating the review of this article and approving it for publication was C. Huang. (Corresponding author: Wonjun Lee.) The authors are with the Network and Security Research Lab, School of Cybersecurity, Korea University, Seoul 02841, South Korea (e-mail: wlee@korea.ac.kr). Digital Object Identifier 10.1109/LWC.2020.3032032 Fig. 1. An example of the wireless intrusion detection system with the proposed scheme.

Publisher Copyright:
© 2012 IEEE.

Keywords

Wireless communications
physical layer security
steganography
wavelet analysis

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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10.1109/LWC.2020.3032032

Cite this

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title = "Detecting Wireless Steganography with Wavelet Analysis",

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. ",

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note = "Funding Information: Manuscript received September 11, 2020; accepted October 13, 2020. Date of publication October 19, 2020; date of current version February 9, 2021. This work was supported by the NRF of Korea grant funded by the Korea Government (MSIT) under Grant 2019R1A2C2088812. The associate editor coordinating the review of this article and approving it for publication was C. Huang. (Corresponding author: Wonjun Lee.) The authors are with the Network and Security Research Lab, School of Cybersecurity, Korea University, Seoul 02841, South Korea (e-mail: wlee@korea.ac.kr). Digital Object Identifier 10.1109/LWC.2020.3032032 Fig. 1. An example of the wireless intrusion detection system with the proposed scheme. Publisher Copyright: {\textcopyright} 2012 IEEE.",

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Detecting Wireless Steganography with Wavelet Analysis

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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