Evaluation of Efficiency of Transcoding Steganography

Janicki Artur, Mazurczyk Wojciech () and Szczypiorski Krzysztof
Additional contact information
Szczypiorski Krzysztof: Warsaw University of Technology, Institute of Telecommunications Warsaw, Poland, 00-665, Nowowiejska 15/19

Journal of Homeland Security and Emergency Management, 2014, vol. 11, issue 4, 555-578

Abstract: Nowadays cyber criminalists’ interest in incorporation of steganography into armory of rogue hackers is on the rise and information hiding techniques are becoming the new black among Black Hats. In this paper we focus on analyzing the efficiency of the recently proposed IP telephony information hiding method called transcoding steganography (TranSteg) that enables hidden communication with a high steganographic bandwidth while retaining good voice quality. Specifically, we focus on analyzing which voice codecs would be the most favourable for TranSteg to minimize the negative influence on voice quality while maximizing the obtained steganographic bandwidth and limiting the risk of detection.

Keywords: information hiding; steganography (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/jhsem-2014-0028 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:johsem:v:11:y:2014:i:4:p:555-578:n:2

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/jhsem/html

DOI: 10.1515/jhsem-2014-0028

Access Statistics for this article

Journal of Homeland Security and Emergency Management is currently edited by Irmak Renda-Tanali

More articles in Journal of Homeland Security and Emergency Management from De Gruyter
Bibliographic data for series maintained by Peter Golla ().