Speech steganalysis based on the delay vector variance method
dc.contributor.author | Koçal, Osman Hilmi | |
dc.contributor.author | Yürüklü, Emrah | |
dc.contributor.buuauthor | Dilaveroğlu, Erdoğan | |
dc.contributor.department | Uludağ Üniversitesi/Mühendislik Fakültesi/Elektrik-Elektronik Mühendisliği Bölümü. | tr_TR |
dc.contributor.scopusid | 56628713300 | tr_TR |
dc.date.accessioned | 2023-06-06T08:13:21Z | |
dc.date.available | 2023-06-06T08:13:21Z | |
dc.date.issued | 2015-07-15 | |
dc.description.abstract | This study investigates the use of delay vector variance-based features for steganalysis of recorded speech. Because data hidden within a speech signal distort the properties of the original speech signal, we designed a new audio steganalyzer that utilizes delay vector variance (DVV) features based on surrogate data in order to detect the existence of hidden data. The proposed DVV features are evaluated individually and together with other chaotic-type features. The performance of the proposed steganalyzer method is also discussed with a focus on the effect of different hiding capacities. The results of the study show that using the proposed DVV features alone or in cooperation with other features helps in designing a distinctive audio steganalyzer, as cooperation with other chaotic-type features provides higher performances for stego and cover objects. | en_US |
dc.identifier.citation | Koçal, O. H. vd. (2016). "Speech steganalysis based on the delay vector variance method". Turkish Journal of Electrical Engineering and Computer Sciences, 24(5), 4129-4141. | tr_TR |
dc.identifier.endpage | 4141 | tr_TR |
dc.identifier.issn | 1300-0632 | |
dc.identifier.issn | 1303-6203 | |
dc.identifier.issue | 5 | tr_TR |
dc.identifier.scopus | 2-s2.0-84978299782 | tr_TR |
dc.identifier.startpage | 4129 | tr_TR |
dc.identifier.uri | https://doi.org/10.3906/elk-1411-167 | |
dc.identifier.uri | https://journals.tubitak.gov.tr/elektrik/vol24/iss5/60/ | |
dc.identifier.uri | http://hdl.handle.net/11452/32932 | |
dc.identifier.volume | 24 | tr_TR |
dc.identifier.wos | 000378097800060 | tr_TR |
dc.indexed.scopus | Scopus | en_US |
dc.indexed.trdizin | TrDizin | tr_TR |
dc.indexed.wos | SCIE | en_US |
dc.language.iso | en | en_US |
dc.publisher | TÜBİTAK | tr_TR |
dc.relation.collaboration | Yurt içi | tr_TR |
dc.relation.journal | Turkish Journal of Electrical Engineering and Computer Sciences | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi | tr_TR |
dc.relation.tubitak | 104E056 | tr_TR |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Computer science | en_US |
dc.subject | Engineering | en_US |
dc.subject | Steganography | en_US |
dc.subject | Steganalysis | en_US |
dc.subject | Speech | en_US |
dc.subject | Chaos | en_US |
dc.subject | False neighbors | en_US |
dc.subject | Lyapunov exponent | en_US |
dc.subject | Surrogate data | en_US |
dc.subject | Delay vector variance | en_US |
dc.subject | Audio steganalysis | en_US |
dc.subject | Time-series | en_US |
dc.subject | Nonlinearity | en_US |
dc.subject.scopus | Steganalysis; Convolutional Neural Network; Data Hiding | en_US |
dc.subject.wos | Computer science, artificial intelligence | en_US |
dc.subject.wos | Engineering, electrical & electronic | en_US |
dc.title | Speech steganalysis based on the delay vector variance method | en_US |
dc.type | Article | |
dc.wos.quartile | Q4 | en_US |