Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/4044
Title: Remote authentication via biometrics: a robust video-object steganographic mechanism over wireless networks
Authors: Tsapatsoulis, Nicolas 
Ntalianis, Klimis S. 
Keywords: Biometrics hiding
Steganographic system
Remote authentication
Biometrics
QSWTs
Video object
Issue Date: 2015
Publisher: IEEE Computer Society
Source: IEEE Transactions on Emerging Topics in Computing
Abstract: In wireless communications sensitive information is frequently exchanged, requiring remote authentication. Remote authentication involves the submission of encrypted information, along with visual and audio cues (facial images/videos, human voice etc.). Nevertheless, Trojan Horse and other attacks can cause serious problems, especially in cases of remote examinations (in remote studying) or interviewing (for personnel hiring). This paper proposes a robust authentication mechanism based on semantic segmentation, chaotic encryption and data hiding. Assuming that user X wants to be remotely authenticated, initially X’s video object (VO) is automatically segmented, using a headand-body detector. Next, one of X’s biometric signals is encrypted by a chaotic cipher. Afterwards the encrypted signal is inserted to the most significant wavelet coefficients of the VO, using its Qualified Significant Wavelet Trees (QSWTs). QSWTs provide both invisibility and significant resistance against lossy transmission and compression, conditions that are typical in wireless networks. Finally, the Inverse Discrete Wavelet Transform (IDWT) is applied to provide the stego-object (SO). Experimental results, regarding: (a) security merits of the proposed encryption scheme, (b) robustness to steganalytic attacks, to various transmission losses and JPEG compression ratios and (c) bandwidth efficiency measures, indicate the promising performance of the proposed biometrics-based authentication scheme.
URI: http://ktisis.cut.ac.cy/jspui/handle/10488/4044
ISSN: 2168-6750
DOI: 10.1109/TETC.2015.2400135
Appears in Collections:Άρθρα/Articles

Show full item record

SCOPUSTM   
Citations 50

2
checked on Aug 12, 2017

WEB OF SCIENCETM
Citations 20

2
checked on Aug 7, 2017

Page view(s) 20

30
Last Week
3
Last month
4
checked on Aug 17, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.