Research On Digital Audio Copyright Protection Based On Zero-watermark And Digital Fingerprinting

With the rapid development of mobile networks and the popularity of the smartphone terminal in recent years, people’s digital life has been greatly enriched. The demandfor digital works of people is growing bigger and bigger, and digital music has become theactual first needs of network users far beyond other multimedia forms. The digital musicindustry contains a great deal of commercial value, which also leads to rampant piracyphenomenon because the data is easy to copy and spread in the open network environment.Therefore, the research on copyright protection of digital audio is significant.As different requirements for different purposes and application environments,copyright protection of digital audio needs many kinds of information security technologysuch as cryptography, digital watermarking, digital fingerprinting, digital signature,authentication, etc. This article focuses on digital watermarking and fingerprinting, and adigital copyright protection and tracking mechanism based on a variety of informationsecurity technology is proposed.As human visual models (HVS) is more sensitive than human auditory perceptionmodel (HAS), zero-watermark is introduced into the audio copyright protection, and arobust audio zero-watermark algorithm based on compressive sensing(CS) is presented.Compressive sensing theory has proved that the original signal can be reconstructed fromlittle compressed sensing data, thus the obtained compressed sensing data can be seen asthe characteristics of the audio signal in the zero-watermark，and the introduction of thepseudo-random measurement matrix has further enhanced the security of the algorithm.Further research on the digital fingerprinting based on residual characters tracking isdiscussed, and a novel digital fingerprint encoding method based on QR Code is proposedin the paper. Taking the advantages such as easy generation and recognition, largeinformation capacity, a wide range of coding and error correction ability of the QR code,the user capacity of the fingerprint is expanded, meanwhile the robustness is stronger. Theproposed method has resolved the problems that the coding is not normative enough andthe fingerprint is not unique for each user before, further experiment results havedemonstrated the feasibility of the digital fingerprinting scheme based on residual characters tracking.