Steganalysis Based on Statistical Properties of the Encrypted Messages View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017-08-06

AUTHORS

Valery Korzhik , Ivan Fedyanin , Artur Godlewski , Guillermo Morales-Luna

ABSTRACT

It is introduced a new steganalytic method based on investigation of statistical properties of the extracted encrypted messages. It is assumed that the message is encrypted before embedding by some sufficiently strong cipher. The extracted messages are exposed to the testing on pseudorandomness, namely to NIST-tests. When passing these tests, the tested objects are assumed stego-objects, otherwise as cover objects. Support vector machine methodology is used to improve the testing process. Experiments demonstrate that the proposed algorithm is able to detect stegosystems as LSB-based embedding (both replacing and matching), with pseudorandom walks given by stego-keys, and with matrix embedding based on Hamming codes with reasonable reliability. More... »

PAGES

288-298

References to SciGraph publications

Book

TITLE

Computer Network Security

ISBN

978-3-319-65126-2
978-3-319-65127-9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-65127-9_23

DOI

http://dx.doi.org/10.1007/978-3-319-65127-9_23

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091054546


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