Research On Audio Information Adaptive Hiding Technology Based On Transform Domain

With the rapid development of Internet technology and digital multimedia technology,the exchange and transmission of audio become much easier than before.However,while enjoying the convenience brought by the open network and sharing resource,people also have to face the negative effects caused by it.How to effectively store,manage and protect audio information in the era of big data has become an important research topic in the field of information security.Audio information hiding technology imperceptibly embeds information into audio signal by using the characteristics of human auditory system and original audio.Because of its unique advantages over traditional encryption technology,audio information hiding technology has been widely used in many fields such as copyright protection,content authentication and covert communication,which has very important research significance.In this thesis,first,the basic theory related to audio information hiding technology are introduced in detail.Then,in view of the relationship among the three performance indicators and shortcomings of some classic algorithms,an audio information adaptive hiding algorithm based on frequency domain is proposed,and an audio information adaptive hiding algorithm based on wavelet domain is optimized.Finally,the corresponding audio information hiding software is designed and implemented based on the above algorithm.The main innovations and research results of this paper are as follows:1.An adaptive audio information hiding algorithm based on frequency domain is proposed.The algorithm combines Advanced Audio Coding(AAC)technology with spread spectrum technology,which analyzes different audios’ characteristics by using psychoacoustic model,dynamically determines the embedding strength of each frequency point through a non-uniform quantizer and adaptively modifies the spectrum coefficients to hide the information.The algorithm effectively balances the imperceptibility and robustness,and has high hiding capacity.2.An adaptive audio information hiding algorithm based on wavelet domain is proposed.Aiming at the shortcomings of the existing audio information hiding algorithms based on wavelet domain,the algorithm performs Singular Value Decomposition(SVD)on the approximate coefficients matrix generated through Discrete Wavelet Transform(DWT),and dynamically adjusts the embedding strength of each signal point according to the singular value.The algorithm is more adaptable to different audio.At the same time,due to the stability of singular value,the algorithm is also resistant to common signal processing attacks.3.An audio information hiding software is designed and implemented based on the above algorithm.Considering different application scenarios and functional requirements,the software not only implements common audio file information embedding and extraction functions,but also provides recording information embedding and extraction functions to meet the real-time requirements of information transmission and reception.