z-logo
open-access-imgOpen Access
Identifying optimal message embedding location in audio steganography using generative adversarial networks
Author(s) -
Muatamed Hajer,
Mohammed Anbar
Publication year - 2022
Publication title -
eastern-european journal of enterprise technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.268
H-Index - 24
eISSN - 1729-4061
pISSN - 1729-3774
DOI - 10.15587/1729-4061.2022.263695
Subject(s) - steganography , steganalysis , computer science , speech recognition , embedding , cover (algebra) , deep learning , artificial intelligence , categorization , payload (computing) , audio signal , computer security , speech coding , engineering , mechanical engineering , network packet

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here