Steganalysis of LSB Matching in WAV Audio
Jie Zhang, Feng Du, Songbin Li · Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) · 2013
To expose the existence of hidden message, this paper presents a steganalysis method for LSB (Least signifycant bit) matching steganography in wav audio based on multiorder Markov feature.Noise sequences are extracted respectively based on two methods of local correlation and 5/3 wavelet de-noising, and then the correlation of noise sequence is quantified as multi-order Markov feature vectors.Based on the extracted feature vectors, a steganography detector based on support vector machine (SVM) is trained to identify whether the wav audio file carries hidden data.Experimental results show that detection accuracy can reach more than 80% even when the embedding rate is only 10%, which is far better than other method.