Security of autoregressive speech watermarking model under guessing attack

The security of the "autoregressive (AR) watermark in AR host" signal model is investigated. It is demonstrated through analysis and Monte Carlo simulation that the AR watermarking model is asymptotically as secure as the "white watermark in white host" model under the guessing a...

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Bibliographic Details
Published in:IEEE transactions on information forensics and security 2006-09, Vol.1 (3), p.386-390
Main Authors: Yan, B., Zhe-Ming Lu, Sheng-He Sun
Format: Article
Language:English
Subjects:
Asymptotic properties
Computer information security
Computer simulation
Detectors
Filtering
Forensic engineering
Guessing attack
Monte Carlo methods
Random processes
Security
Signal generators
Speech
Speech processing
speech watermarking
spread spectrum
Spread spectrum communication
Sun
Watermarking
Wiener filter
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Summary:The security of the "autoregressive (AR) watermark in AR host" signal model is investigated. It is demonstrated through analysis and Monte Carlo simulation that the AR watermarking model is asymptotically as secure as the "white watermark in white host" model under the guessing attack
ISSN:1556-6013
1556-6021
DOI:10.1109/TIFS.2006.879285