MDCT quantization coefficient small value region-based advanced audio coding (AAC) audio steganography and extraction method

Abstract

The invention discloses an MDCT quantization coefficient small value region-based advanced audio coding (AAC) audio steganography and extraction method. The method includes the following steps that: 1, a mapping table containing index pairs and code length is established according to an AAC audio codebook; steganography rules are established according to the mapping table; and 3, insertion and extraction of secret information can be realized through utilizing the mapping table and the steganography rules. With the method of the invention adopted, computational complexity in steganography and extraction processes can be decreased, and imperceptibility and anti-steganalysis of steganography can be improved, and therefore, information can be hidden in and extracted from AAC audios safely and efficiently.

Description

technical field [0001] The invention belongs to the field of information hiding in information security, and in particular relates to an AAC steganography and extraction method based on a small-value area of ​​MDCT quantization coefficients. Background technique [0002] Steganography is a technology that embeds secret information with a certain algorithm in public digital media, and can use public channels to realize secret communication. At present, the research on audio steganography mainly uses uncompressed audio as the carrier, but there are problems in the steganographic method using uncompressed audio as the carrier: the uncompressed audio is large in size, it is not convenient for communication transmission, and it is not available on the network. Uncommon, it is easy to arouse the suspicion of the monitor, thus affecting the security of steganography. At present, most of the audio on the Internet is stored and transmitted by compression coding represented by MP3. A...

AI Technical Summary

Problems solved by technology

At present, the research on audio steganography mainly uses uncompressed audio as the carrier, but there are problems in the steganographic method using uncompressed audio as the carrier: the uncompressed audio is large in size, it is not convenient for communication transmission, and it is not available on the network. Uncommon, it is easy to arouse the suspicion of the monitor, thus affecting the security of steganography

[0004] One is the information hiding method based on the time domain, that is, the secret information is embedded in the uncompressed time domain signal and then compressed into AAC format audio. Meet real-time requirements, so this method is currently rarely used in information hiding of compressed domain audio

[0005] The second is the hiding method based on the frequency-domain real number signal. This type of method needs to dequantize the quantization coefficient to obtain the frequency-domain real number signal before embedding, and embed the secret information in the frequency-domain real number signal. After embedding, it needs to go through the quantization process. The complexity is high, and some information may be lost during the quantization process

But bitstream-based hiding methods usually have less redundant space and less hiding capacity

[0008] Although some steganographic and extraction methods based on AAC have appeared, there is still room for improvement in terms of steganographic capacity, imperceptibility and resistance to steganalysis.

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