DocumentCode
1760804
Title
Authenticating Lossy Surveillance Video
Author
Ren, Y.J. ; O´Gorman, L. ; Wu, L.J. ; Fangzhe Chang ; Wood, T.L. ; Zhang, J.R.
Author_Institution
Alcatel-Lucent Bell Labs., Murray Hill, NJ, USA
Volume
8
Issue
10
fYear
2013
fDate
Oct. 2013
Firstpage
1678
Lastpage
1687
Abstract
Public camera feeds are increasingly being opened to use by multiple authorities (e.g., police, fire, traffic) as well as to the public. Because of the difficulty and insecurity of sharing cryptographic keys, these data are available in the clear. However, authorities must have a mechanism to assure trust in the video, that is, to authenticate it. While lossless video is straightforward to authenticate by cryptographic means, lossy video as may result from UDP, wireless, or transcoded transmissions, is more difficult to authenticate. We describe a method that combines a concise and efficiently computed video fingerprint with public key cryptography. Essential components of our approach are: the procedure to combine inexact video fingerprint with exact digital signature to enable lossy authentication, and matching for misaligned video via a major incline approach. Experimental results relate video fingerprint length to authentication accuracy and latency (time to authentication).
Keywords
digital signatures; public key cryptography; video surveillance; authentication accuracy; computed video fingerprint; cryptographic keys; digital signature; lossy authentication; lossy surveillance video; public camera feeds; public key cryptography; Authentication; Cameras; Digital signatures; Feature extraction; Fingerprint recognition; Robustness; Time series analysis; Video surveillance; authentication; data privacy; lossy video transmission; pattern analysis;
fLanguage
English
Journal_Title
Information Forensics and Security, IEEE Transactions on
Publisher
ieee
ISSN
1556-6013
Type
jour
DOI
10.1109/TIFS.2013.2279542
Filename
6585783
Link To Document