Method for embedding blockchain ledger in audio digital watermarking

Abstract

The invention discloses a method for embedding a blockchain ledger in audio digital watermarking. The method comprises the following steps: I, selecting separators, block sizes, head structures of blocks and transaction details as ledger information and watermarking information and combining the information so as to achieve quantization and coding of watermarking containing a blockchain data; II,reducing dimensions of the blockchain ledger information and watermarking information obtained from quantization and coding, transforming a frequency domain of original audio and implementing quantization and coding once again, so that new matrix coefficient coding is formed, and implementing frequency domain inverse transformation so as to obtain final audio watermarking containing the blockchaininformation, so that blockchain watermarking embedding is completed; and III, updating watermarking information in the blockchain by updating a data value in the blockchain information, so as to facilitate tracking and to acquire a performance that can not be arbitrarily modified. According to the method provided by the invention, quantized information of the blockchain ledger, as one part of thewatermarking information, is embedded into a transformation domain of the audio signal, so that the integrity of the watermarking can be kept in a transfer process and a bit error rate in data extracting can be reduced.

Description

technical field [0001] The invention belongs to the technical field of block chains, and in particular relates to a method for embedding block chain ledgers in audio digital watermarks. Background technique [0002] Audio digital watermarking is a technical method for privacy of audio information generated in human social activities. It can confirm the source and owner information of audio information, and ensure that the audio digital signal maintains the uniqueness of the information source in the process of transmission. , the security of the information content and its correctness at the receiving end. Audio watermarking utilizes the principle of the human auditory system, digitizes its signal, analyzes its frequency characteristics using wavelet transform, Fourier transform, etc., hides the watermark information in the frequency band that does not affect the signal quality and auditory effect, adds a unique identifier to the audio, and protects its source. effectivenes...

AI Technical Summary

Problems solved by technology

[0024] Traditional frequency domain audio watermarking itself is poor in robustness

After various processing and attacks, the traditional audio watermark cannot maintain its own integrity stably. It will change its own watermark when it withstands the distortion and attacks brought by the signal processing process, including artificial noise, data encoding, and dead filtering. encoding information

[0025] 2) The bit error rate of audio watermark extraction is high, and the bit error rate of traditional audio watermark extraction is high.

[0026] Traditional frequency-domain audio watermarking often produces audio watermark information distortion due to network propagation, channel signal gain instability, and intensity attenuation.

Especially in the face of targeted destruction by human beings, they are even more powerless to parry, causing fatal harm to users, and cannot guarantee the integrity of the watermark

[0027] Therefore, with the innovation of network security technology, various attack methods emerge in an endless stream. When the audio digital watermark is attacked by it, it becomes more and more difficult to meet the application requirements. The interference of the medium, the instability of the signal sending source and the receiving end and other factors cause it to be accidentally distorted or change the strength indication of some watermarks in the process, which results in a large bit error rate after the watermark is extracted and before it is embedded.

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