dc.contributor.advisor | Shelvie Nidya Neyman | |
dc.contributor.author | Kawakibi, Tajrij | |
dc.date.accessioned | 2013-02-01T06:51:37Z | |
dc.date.available | 2013-02-01T06:51:37Z | |
dc.date.issued | 2009 | |
dc.identifier.uri | http://repository.ipb.ac.id/handle/123456789/60254 | |
dc.description.abstract | We address the problem of detecting the presence of hidden messages in audio. The detector is based on the characteristics of the denoised residuals of the audio, which may consist of a mixture of speech and music data. A set of generalized moments of the audio signal is measured in terms of objective and perceptual quality measures. The detector discriminates between cover and stego files using a selected subset of features and an Support Vector Machine (SYM) classifier. The proposed scheme achieves on the average 82,5 % discrimination perfomance on individual stegnographic tools. The perfomance for detecting non-embedded hidden messages in audio data is 25 % discrimination. Generally 63,3 % discrimination perfomance is achieved in universal tests. Experimental results show that the proposed tec1mique can be used to detect the presence of hidden messages in digital audio data. | en |
dc.subject | Bogor Agricultural University (IPB) | en |
dc.subject | support vector machine. | en |
dc.subject | audio quality measures | en |
dc.subject | feature selection | en |
dc.subject | Steganalysis | en |
dc.title | Steganalisis pada media audio menggunakan metode Support Vector Machine Radial Basis jiICntion (SVM-Rbf) Classifier | en |