王波
Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Main positions:Professor
Gender:Male
Alma Mater:Dalian University of Technology
Degree:Doctoral Degree
School/Department:School of Information and Communication Engineering
Discipline:Signal and Information Processing
Business Address:A512, Haishan Building
Contact Information:bowang@dlut.edu.cn
E-Mail:bowang@dlut.edu.cn
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Indexed by:Journal Papers
Date of Publication:2015-11-01
Journal:SIGNAL PROCESSING-IMAGE COMMUNICATION
Included Journals:SCIE、EI
Volume:39
Page Number:17-25
ISSN No.:0923-5965
Key Words:Data hiding; Information hiding; Pseudo-noise masking; Signal-to-interference-plus-noise ratio (SINR); Spread-spectrum embedding; Steganography
Abstract:Conventional additive spread-spectrum (SS) data embedding has a dangerous security flaw that unauthorized receivers can blindly extract hidden information without the knowledge of carrier(s). In this paper, pseudo-noise (PN) masking technique is adopted as an efficient security measure against illegitimate data extraction. The proposed PN-sequence masked SS embedding can offer efficient security against current SS embedding analysis without inducing any additional distortion to host nor notable recovery performance loss. To further improve recovery performance, optimal carrier design for PN-masked SS embedding is also developed. With any given host distortion budget, we aim at designing a carrier to maximize the output signal-to-interference-plus-noise ratio (SINR) of the corresponding maximum-SINR linear filter. Then, we present jointly optimal carrier and linear processor designs for PN-masked SS embedding in linearly modified transform domain host data. Finally, PN-masked multi-carrier/multi-message SS embedding is studied as well. The extensive experimental studies confirm our analytical performance predictions and illustrate the benefits of the designed PN masked optimal SS embedding. (C) 2015 Elsevier B.V. All rights reserved.
I am not a star professor, but I am working on the road to a star professor of tomorrow. For this reason, self-motivated graduate students are desired to my research group. Self-motivated attitude and initiative are the most important characteristics in our laboratory. Students with preliminary knowledge on signal (image/video) processing and programming skills are most welcome. For your academic trip in my group, I will devote myself to training your FIVE abilities: Intellectual skills, Communication skills, Personality characteristics, Habit of work, Mechanical skills, which are considered as the most important abilities of a graduated student.
http://ice.dlut.edu.cn/WangBo/index.html
