DocumentCode :
1232782
Title :
Perfectly Secure Steganography: Capacity, Error Exponents, and Code Constructions
Author :
Wang, Ying ; Moulin, Pierre
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ. Urbana-Champaign, Urbana, IL
Volume :
54
Issue :
6
fYear :
2008
fDate :
6/1/2008 12:00:00 AM
Firstpage :
2706
Lastpage :
2722
Abstract :
An analysis of steganographic systems subject to the following perfect undetectability condition is presented in this paper. Following embedding of the message into the covertext, the resulting stegotext is required to have exactly the same probability distribution as the covertext. Then no statistical test can reliably detect the presence of the hidden message. We refer to such steganographic schemes as perfectly secure. A few such schemes have been proposed in recent literature, but they have vanishing rate. We prove that communication performance can potentially be vastly improved; specifically, our basic setup assumes independent and identically distributed (i.i.d.) covertext, and we construct perfectly secure steganographic codes from public watermarking codes using binning methods and randomized permutations of the code. The permutation is a secret key shared between encoder and decoder. We derive (positive) capacity and random-coding exponents for perfectly secure steganographic systems. The error exponents provide estimates of the code length required to achieve a target low error probability. In some applications, steganographic communication may be disrupted by an active warden, modeled here by a compound discrete memoryless channel (DMC). The transmitter and warden are subject to distortion constraints. We address the potential loss in communication performance due to the perfect-security requirement. This loss is the same as the loss obtained under a weaker order-1 steganographic requirement that would just require matching of first-order marginals of the covertext and stegotext distributions. Furthermore, no loss occurs if the covertext distribution is uniform and the distortion metric is cyclically symmetric; steganographic capacity is then achieved by randomized linear codes. Our framework may also be useful for developing computationally secure steganographic systems that have near-optimal communication performance.
Keywords :
data encapsulation; decoding; distortion; error statistics; linear codes; private key cryptography; random codes; statistical testing; text analysis; watermarking; binning code; compound discrete memoryless channel; covertext distribution; distortion constraint; error exponent; error probability; first-order marginal; public watermarking code; randomized linear code; randomized permutation; secret key sharing; secure steganographic code; secure steganographic system; statistical testing; steganographic communication; stegotext distribution; Decoding; Error probability; Linear code; Memoryless systems; Performance loss; Probability distribution; Steganography; Testing; Transmitters; Watermarking; Binning codes; capacity; error exponents; randomized codes; reliability function; secret communication; steganography; timing channels; universal codes; watermarking;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2008.921684
Filename :
4529296
Link To Document :
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