Audio Digital Signature Algorithm with Tamper Detection

摘要：

An audio digital signature algorithm based on Principal Component Analysis (PCA) was presented. Wavelet packet decomposition was implemented to audio files, all the terminal coefficients of the wavelet packet decomposing tree were used as the data matrix. The matrix was chaotically encrypted, and then it was Principal Component Analysis that to get the eigenvector. Quantized eigenvector matrix was used as the signature, and the signature was embedded into the primal audio data by using watermarking system, and at the same time ICA technology was introduced to locate the audio tamper. The experiment results confirm that the signature is sensitive to the change of the audio data and can locate the tamper.

关键词： multimedia digital signature tamper detection PCA ICA

作者: Xiaoyuan Yang Xiang Wu Minqing Zhang

作者单位: Key Laboratory of Network & Information Security of APF,Engineering College of APF Xian,Chian

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 15-18

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）