Title :
Security of autoregressive speech watermarking model under guessing attack
Author :
Yan, Bin ; Zhe-Ming Lu ; Sheng-He Sun
Author_Institution :
Dept. of Autom. Test & Control, Harbin Inst. of Technol.
Abstract :
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
Keywords :
Monte Carlo methods; autoregressive processes; security of data; speech coding; watermarking; AR host signal model; Monte Carlo simulation; autoregressive speech watermarking model security; guessing attack; white-watermark-in-white-host model; Detectors; Filtering; Random processes; Security; Signal generators; Speech processing; Spread spectrum communication; Sun; Watermarking; Wiener filter; Guessing attack; speech watermarking; spread spectrum;
Journal_Title :
Information Forensics and Security, IEEE Transactions on
DOI :
10.1109/TIFS.2006.879285
