A new scheme for covert communication via 3G encoded speech

Authors:
Haibo Miao;Liusheng Huang;Zhili Chen;Wei Yang;Ammar Al-Hawbani
Affiliations:
Department of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China and Suzhou Institute for Advanced Study, University of Science and Technology of C ...;Department of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China and Suzhou Institute for Advanced Study, University of Science and Technology of C ...;Department of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China and Suzhou Institute for Advanced Study, University of Science and Technology of C ...;Department of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China and Suzhou Institute for Advanced Study, University of Science and Technology of C ...;Department of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China
Venue:
Computers and Electrical Engineering
Year:
2012

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Abstract

Mobile communication through 3G network has grown rapidly in recent years. It might be of interest to transmit secret messages over 3G voice channels. In this paper, we introduce a new covert communication scheme via Adaptive Multi-Rate Wideband (AMR-WB) encoded speech. An adaptive suboptimal pulse combination constrained (ASOPCC) method is presented to embed data on compressed speech signal of AMR-WB codec. The method takes advantage of the ''redundancy'', created by non-exhaustive search of algebraic codebook, to encode secret information. An embedding factor @h is used to control embedding bits. By properly setting @h, ASOPCC can offer a better trade-off between speech quality and embedding capacity in the process of coding mode switching. Experimental results show that the proposed method is quite promising for both high capacity and good imperceptivity. Although ASOPCC is only applied to AMR-WB codec in this article, it can be further used by any other speech coding based on Algebraic Coded Exited Linear Prediction (ACELP).