Paper Info
Title
SINR, bit error rate, and Shannon capacity optimized spread-spectrum steganography
Abstract
For any given host image and (block) transform domain of interest, we derive the signature vector that when used for spread-spectrum (SS) message embedding that maximizes the signal-to-interference-plus-noise ratio (SINR) at the output of the maximum SINR linear filter receiver. Under a (colored) Gaussian assumption on the transform domain host data, we see that the same signature offers minimum probability of error message recovery at any host distortion level or -conversely- minimizes the host distortion for any probability of error target level. In addition, we show that the same signature maximizes the Shannon capacity of the covert link. All developments are then generalized to cover SS embedding in linearly processed block transform domain host data with orders of magnitude demonstrated improvement over current SS steganographic practices.
Year
DOI
Venue
2004
10.1109/ICIP.2004.1421364
Image Processing, 2004. ICIP '04. 2004 International Conference
Keywords
Field
DocType
Gaussian processes,cryptography,data encapsulation,error statistics,optimisation,radio receivers,radiofrequency interference,spread spectrum communication,transforms,BER,Gaussian assumption,SINR,Shannon capacity,bit error rate,error probability,linear filter,message recovery,optimization,signal-to-interference-plus-noise ratio,spread-spectrum message embedding,spread-spectrum steganography
Computer science,Theoretical computer science,Artificial intelligence,Gaussian process,Distortion,Channel capacity,Spread spectrum,Bit error rate,Steganography,Embedding,Linear filter,Pattern recognition,Algorithm
Conference
Volume
ISSN
ISBN
3
1522-4880
0-7803-8554-3
Citations 
PageRank 
References 
12
0.60
6
Authors
3
Name
Order
Citations
PageRank
Maria Gkizeli1645.98
Dimitris Pados220826.49
Michael J. Medley333726.06