By the same authors

3D Mesh Steganalysis using local shape features

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Full text download(s)



Publication details

Title of host publicationProc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP)
DatePublished - May 2016
Number of pages5
Original languageEnglish


Steganalysis aims to identify those changes performed in a
specific media with the intention to hide information. In this
paper we assess the efficiency, in finding hidden information,
of several local feature detectors. In the proposed 3D ste-
ganalysis approach we first smooth the cover object and its
corresponding stego-object obtained after embedding a given
message. We use various operators in order to extract lo-
cal features from both the cover and stego-objects, and their
smoothed versions. Machine learning algorithms are then
used for learning to discriminate between those 3D objects
which are used as carriers of hidden information and those
are not used. The proposed 3D steganalysis methodology is
shown to provide superior performance to other approaches
in a well known database of 3D objects.

Bibliographical note

© IEEE, 2018. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations