• 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