DocumentCode
1783115
Title
A capacity self-adaption information hiding algorithm based on RS code
Author
Hengtai Ma ; Xiaowei Yi ; Xiaohui Wu ; Dingfeng Gu ; Hui Pan ; Changwen Zheng
Author_Institution
Sci. & Tech. on Integrated Inf. Syst. Lab., Inst. of Software, Beijing, China
fYear
2014
fDate
28-29 Sept. 2014
Firstpage
1
Lastpage
8
Abstract
Information hiding based on error correcting code is one of the difficulties in information hiding research. Current information hiding algorithms cannot confirm the upper bound of covert channel capacity when channels are interfered. In this paper, a capacity self-adaption information hiding algorithm based on RS code is proposed to solve this problem. Firstly, Channel covert communication model is designed to describe the realization of information hiding algorithms based on the m-sequence. Secondly, the upper bound of embedding capacity of secret information based on block code and RS code is separately analyzed in theory. Thirdly, simulation verification is implemented under the supposed channel environment. Experimental results demonstrated that experimental values are consistent with the theoretical values, and in terms of the embedding rate, the performance of the RS code is better than the performance of recurrent code and block code.
Keywords
Reed-Solomon codes; block codes; channel capacity; channel coding; error correction codes; m-sequences; telecommunication security; RS code; block code; capacity self-adaption information hiding algorithm; channel covert communication model; covert channel capacity; error correcting code; m-sequence; recurrent code performance; secret information embedding capacity; simulation verification; upper bound; Bit error rate; Block codes; Decoding; Error correction codes; Noise; Upper bound; Information hiding; RS code; block code; channel capacity; self-adaption;
fLanguage
English
Publisher
ieee
Conference_Titel
Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014 International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6731-5
Type
conf
DOI
10.1109/MFI.2014.6997696
Filename
6997696
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