4.7 Article

Adaptive Information Hiding Method Based on Feature Extraction for Visible Light Communication

Journal

IEEE COMMUNICATIONS MAGAZINE
Volume 61, Issue 4, Pages 102-106

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MCOM.001.2200035

Keywords

Feature extraction; Visible light communication; Filter banks; Quantization (signal); Data mining; Security; Optical filters

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Visible Light Communication (VLC) is an emerging technology that can mitigate spectrum congestion, but faces security issues. This article proposes a VLC method using RGB LED and information hiding to enhance security. The method utilizes gammatone filter bank-based feature extraction and adaptive optimization-based dither modulation scheme for information hiding. Experimental results show the superiority of the proposed method compared to existing methods.
Visible Light Communication (VLC) is an emerging short-range optical communication technology that can alleviate spectrum congestion. However, VLC faces security problems with man-in-the-middie hijacking and bypass listening. Since the covert transmission of visible light information has the characteristics of strong concealment and difficult detection, VLC based on information hiding becomes a new paradigm to solve these security problems. This article presents a method in which Red, Green, Blue (RGB) Light-emitting Diode (LED) is used to secure the VLC by using the information hiding technique. Specifically, a gammatone filter bank-based feature extraction method is suggested. This method extracts robust vector for information hiding and extraction. To hide and extract the information, a dither modulation information hiding scheme based on the adaptive optimization is proposed. The presented method uses dither modulation to hide information in the extracted feature vector, which can effectively improve the success rate of information extraction. On the basis of performance analysis, the superiority of the presented method is illustrated by comparing with the existing methods.

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