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基于联合失真的AAC安全隐写算法
作者姓名:蔡森  任延珍  王丽娜
作者单位:空天信息安全与可信计算教育部重点实验室, 武汉大学国家网络安全学院 武汉 中国 430072
基金项目:本课题得到国家自然科学基金(No.61872275,No.U1836112,No.61876134)资助。
摘    要:随着互联网技术的普及,越来越多的音视频通信应用融入到了人们的日常生活中.AAC(Advanced Audio Coding),作为目前互联网应用中使用最广泛的音频压缩编码标准之一,拥有优秀的压缩效果和出色的音频质量,使得越来越多的音视频作品利用AAC进行编码传输,这也为信息隐藏提供了新的、更多、更好的隐写空间.本文分别...

关 键 词:AAC  Huffman编码  隐写术  听觉掩蔽效应
收稿时间:2020/12/10 0:00:00
修稿时间:2021/3/2 0:00:00

An AAC Steganographic Algorithm Based on Joint Distortion
Authors:CAI Sen  REN Yanzhen  WANG Lina
Affiliation:Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan 430072, China
Abstract:With the popularization of Internet technology, more and more audio and video communication applications have been integrated into People’s Daily life. AAC(Advanced Audio Coding), as one of the most widely used Audio compression Coding standards in Internet applications, has excellent compression effect and excellent Audio quality, making more and more Audio and video works use AAC for Coding transmission. This also provides new, more and better steganographic space for information hiding. In this paper, the statistical analysis of Huffman code words with dense audio generated by the existing steganography algorithm and the distortion function designed by the algorithm based on the masking curve theory are carried out respectively, and it is found that the existing steganography algorithm will destroy the statistical security of Huffman code words and audio masking to varying degrees. In order to solve the shortcomings of existing steganography algorithms in statistical security and auditory concealment, the AAC steganographic joint distortion cost function is proposed based on Huffman code word statistical distribution characteristics and actual auditory masking threshold curve. At the same time, an adaptive steganographic algorithm for AAC compression parameter domain is implemented by using the minimum distortion coding framework STCs(Syndrome-Trellis Codes). The experimental results show that the maximum steganographic capacity of the proposed steganographic method can reach 12 kbps. In addition,statistical security can be improved by up to 30% compared to existing steganographic methods. There was also a further improvement in auditory quality. In terms of scalability, because the encoding process of MP3(Moving Picture Experts Group Audio Layer Ⅲ) is basically similar to that of AAC, the new scheme proposed in this paper can be directly applied to steganographic algorithm based on MP3 after minor adjustment. It also improves the security and audio quality of the steganographic algorithm based on MP3.
Keywords:AAC  Huffman Code  steganography  masking effect of the psychoacoustic model
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