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Title: Remote authentication via biometrics: a robust video-object steganographic mechanism over wireless networks
Authors: Tsapatsoulis, Nicolas 
Ntalianis, Klimis S. 
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Keywords: Biometrics hiding;Steganographic system;Remote authentication;Biometrics;QSWTs;Video object
Issue Date: 18-Feb-2015
Source: IEEE Transactions on Emerging Topics in Computing, 2015, vol. 4, no. 1, 156-174.
Volume: 4
Issue: 1
Start page: 156
End page: 174
Journal: 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.
ISSN: 2168-6750
DOI: 10.1109/TETC.2015.2400135
Rights: © IEEE
Type: Article
Affiliation : Cyprus University of Technology 
Technological Educational Institute of Athens 
Appears in Collections:Άρθρα/Articles

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