IBM Systems Journal
Information Hiding Techniques for Steganography and Digital Watermarking
Information Hiding Techniques for Steganography and Digital Watermarking
Proceedings of the First International Workshop on Information Hiding
Attacks on Copyright Marking Systems
Proceedings of the Second International Workshop on Information Hiding
Detectors for Echo Hiding Systems
IH '02 Revised Papers from the 5th International Workshop on Information Hiding
Spread Spectrum Audio Steganography Using Sub-band Phase Shifting
IIH-MSP '06 Proceedings of the 2006 International Conference on Intelligent Information Hiding and Multimedia
A DCT-based Mod4 steganographic method
Signal Processing
New echo embedding technique for robust and imperceptible audio watermarking
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Improved BSS Based Schemes for Active Steganalysis
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 03
A unified audio and image steganography by spectrum modification
ICIT '09 Proceedings of the 2009 IEEE International Conference on Industrial Technology
Detection of LSB steganography via sample pair analysis
IEEE Transactions on Signal Processing
Highly Robust, Secure, and Perceptual-Quality Echo Hiding Scheme
IEEE Transactions on Audio, Speech, and Language Processing
Digital audio watermarking in the cepstrum domain
IEEE Transactions on Consumer Electronics
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Steganalysis using image quality metrics
IEEE Transactions on Image Processing
A novel echo-hiding scheme with backward and forward kernels
IEEE Transactions on Circuits and Systems for Video Technology
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This paper presents an active steganalysis technique for echo hiding (EH). This approach can differentiate stego audios (with hidden message) from nature ones (without hidden message), and then extract sequential EH messages in stego audios without prior knowledge about the EH technique. The procedure of this algorithm can be simplified as follows: (i) Sliding Windowed Cepstrum (SWC) is obtained by employing a Sliding Window (SW) to move over the audio signal sample by sample. (ii) The echo detector is designed based on statistical analysis of the Cepstrum Peak Location Aggregation Degree (CPLAD). (iii) For stego signals, both echo delay and the range of segment length are estimated by exploring the changing rule of the SWC. (iv) The accurate estimation of segment length and synchronism position is acquired by the grid search algorithm. (v) Finally, the binary secret message can be extracted using the estimated parameters in the previous steps. The proposed method has been implemented and tested to extract the message which is embedded into audio clips by using EH techniques with different kernels. The experimental results show that the accuracy of extraction is no less than 90% when attenuation is greater than 0.45.