A Perceptual Audio Hashing Algorithm: A Tool for Robust Audio Identification and Information Hiding
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
Distortion-Free Data Embedding for Images
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
A Reversible Data Hiding Scheme with Modified Side Match Vector Quantization
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 1
Transforms and Fast Algorithms for Signal Analysis and Representations
Transforms and Fast Algorithms for Signal Analysis and Representations
Audio Integrity Protection and Falsification Estimation by Embedding Multiple Watermarks
IIH-MSP '06 Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia
Speaker verification security improvement by means of speech watermarking
Speech Communication
Reversible Data Hiding for Audio Based on Prediction Error Expansion
IIH-MSP '08 Proceedings of the 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing
IEEE Transactions on Audio, Speech, and Language Processing
Reversible data embedding using a difference expansion
IEEE Transactions on Circuits and Systems for Video Technology
Reversible watermarking for audio authentication based on integer DCT and expansion embedding
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
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Advanced signal-processing technology has provided alternative countermeasures against malicious attacks and tampering with digital multimedia, which are serious issues. We propose a reversible acoustic steganography scheme to verify the integrity of acoustic data with probative importance from being illegally used. A hash function is used as a feature value to be embedded into original acoustic target data as a checksum of the data's originality. We compute the target original signal with an Integer Discrete Cosine Transform (intDCT) that has low computational complexity. Embedding space in the DCT domain is reserved for feature values and extra payload data, enabled by amplitude expansion in high-frequency spectrum of cover data. Countermeasures against overflow/underflow have been taken with adaptive gain optimization. Experimental evaluation has shown the distortion caused by embedding has been controlled under a level that is perceptible. Lossless hiding algorithm ensures this scheme is reversible.