Motion vector encryption in multimedia streaming

Liu, Zheng and Li, Xue (2004). Motion vector encryption in multimedia streaming. In: Y. CHen, Proceedings of the Tenth International Conference on Multimedia Modelling. The Tenth International Conference on Multimedia Modelling, Brisbane, Australia, (64-71). 5-7 January 2004. doi:10.1109/MULMM.2004.1264968


Author Liu, Zheng
Li, Xue
Title of paper Motion vector encryption in multimedia streaming
Conference name The Tenth International Conference on Multimedia Modelling
Conference location Brisbane, Australia
Conference dates 5-7 January 2004
Proceedings title Proceedings of the Tenth International Conference on Multimedia Modelling
Journal name Proceedings - 10th International Multimedia Modelling Conference, MMM 2004
Place of Publication Los Alamitos, California, U.S.A.
Publisher IEEE Computer Society
Publication Year 2004
Sub-type Fully published paper
DOI 10.1109/MULMM.2004.1264968
ISBN 0-7695-2084-7
Editor Y. CHen
Start page 64
End page 71
Total pages 8
Collection year 2004
Language eng
Abstract/Summary Streaming video application requires high security as well as high computational performance. In video encryption, traditional selective algorithms have been used to partially encrypt the relatively important data in order to satisfy the streaming performance requirement. Most video selective encryption algorithms are inherited from still image encryption algorithms, the encryption on motion vector data is not considered. The assumption is that motion vector data are not as important as pixel image data. Unfortunately, in some cases, motion vector itself may be sufficient enough to leak out useful video information. Normally motion vector data consume over half of the whole video stream bandwidth, neglecting their security may be unwise. In this paper, we target this security problem and illustrate attacks at two different levels that can restore useful video information using motion vectors only. Further, an information analysis is made and a motion vector information model is built. Based on this model, we describe a new motion vector encryption algorithm called MVEA. We show the experimental results of MVEA. The security strength and performance of the algorithm are also evaluated.
Subjects E1
280505 Data Security
700199 Computer software and services not elsewhere classified
Q-Index Code E1

 
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Created: Thu, 23 Aug 2007, 19:42:54 EST