A high capacity data hiding technique was developed for compressed digital audio. As perceptual audio coding has become the accepted technology for storage and transmission of audio signals, compressed audio informati...A high capacity data hiding technique was developed for compressed digital audio. As perceptual audio coding has become the accepted technology for storage and transmission of audio signals, compressed audio information hiding enables robust, imperceptible transmission of data within audio signals, thus allowing valuable information to be attached to the content, such as the song title, lyrics, composer＇s name, and artist or property rights related data. This paper describes simultaneous low bitrate encoding and information hiding for highly compressed audio signals. The information hiding is implemented in the quan- tization process of the audio content which improves robustness, signal quality, and security. The impercep- tibility of the embedded data is ensured based on the masking property of the human auditory system （HAS） The robustness and security are evaluated by various attacking algorithms. Tests with an extended MPEG4 advanced audio coding （AAC） encoder confirm that the method is robust to the regular and singular groups method （RS） and sample pair analysis （SPA） attacks as well as other statistical steganalysis method attacks.展开更多
基金Supported by the Chuanxin Foundation (No. 110109001)the Basic Research Foundation of Tsinghua National Laboratory for Information Science and Technology (TNList)
文摘A high capacity data hiding technique was developed for compressed digital audio. As perceptual audio coding has become the accepted technology for storage and transmission of audio signals, compressed audio information hiding enables robust, imperceptible transmission of data within audio signals, thus allowing valuable information to be attached to the content, such as the song title, lyrics, composer＇s name, and artist or property rights related data. This paper describes simultaneous low bitrate encoding and information hiding for highly compressed audio signals. The information hiding is implemented in the quan- tization process of the audio content which improves robustness, signal quality, and security. The impercep- tibility of the embedded data is ensured based on the masking property of the human auditory system （HAS） The robustness and security are evaluated by various attacking algorithms. Tests with an extended MPEG4 advanced audio coding （AAC） encoder confirm that the method is robust to the regular and singular groups method （RS） and sample pair analysis （SPA） attacks as well as other statistical steganalysis method attacks.
