DocumentCode
3151114
Title
Invisible flow watermarks for channels with dependent substitution and deletion errors
Author
Gong, Xun ; Rodrigues, Mavis ; Kiyavash, Negar
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear
2012
fDate
25-30 March 2012
Firstpage
1773
Lastpage
1776
Abstract
Flow watermarking 1 is an efficient technique for linking packet flows that helps thwart various attacks in networks such as over the Internet. Current state-of-the-art water-marking schemes withstand packet losses at the expense of compromising invisibility. We present an invisible flow watermarking scheme that can endure large numbers of packet losses. To maintain invisibility, our scheme embeds quantization-index modulation watermarks into inter-packet delays (as opposed to intervals). As the watermark is injected within individual packets, packet losses may lead to water-mark desynchronization and substitution errors. To deal with this issue we propose a maximum likelihood decoding (ML) scheme based on a hidden-Markov model (HMM) of the channel. Experimental results demonstrate that our scheme is robust to both network jitters and packet deletions while remaining invisible to an attacker.
Keywords
computer network security; delays; hidden Markov models; jitter; maximum likelihood decoding; quantisation (signal); watermarking; HMM; ML decoding; channel watermarking; deletion errors; hidden Markov model; inter-packet delays; invisible flow watermarking; maximum likelihood decoding; network attacks; network jitters; packet deletions; packet flow linkage; packet losses; quantization-index modulation watermarks; substitution errors; watermark desynchronization; Decoding; Hidden Markov models; Jitter; Robustness; Watermarking; deletion channels; hidden-Markov models; network flow watermarking;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location
Kyoto
ISSN
1520-6149
Print_ISBN
978-1-4673-0045-2
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2012.6288243
Filename
6288243
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