Security of autoregressive speech watermarking model under guessing attack

Bin Yan, Zhe-Ming Lu, Sheng-He Sun

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