• DocumentCode
    2942770
  • Title

    Analysis on AACS´ Traitor Tracing Against Mix-and-Match Attacks

  • Author

    Bin Zhu ; Min Feng ; Fen Liu ; Lei Hu

  • Author_Institution
    Microsoft Res. Asia, Beijing
  • fYear
    2008
  • fDate
    10-12 Jan. 2008
  • Firstpage
    1097
  • Lastpage
    1101
  • Abstract
    In this position paper, we report the progress of our project to analyze security of the traitor tracing technology used in Advanced Access Content System (AACS). For a simplified problem that all sequence keys are statically assigned according to known Reed Solomon (RS) codes, and a colluder is to be identified with the traitor tracing, we present a mix-and-match colluding attack to victimize an innocent device such that using the highest score of matches with AACS´ traitor tracing to identify a colluder will always indentify the victim as a colluder no matter how many movies are tested. Both theoretical analysis and experimental results show that a group of arbitrary 20 or more colluding devices out of a billion devices supported by AACS can always successfully victimize an innocent device. With 26 arbitrary colluders, an arbitrarily given device has a probability of 39.13% to be successfully victimized. Moreover, our attack enables everyone in a group as small as 6 arbitrary colluding devices to escape from being identified as a colluder with the traitor identification method. Analysis with more realistic assumptions will be reported in the future.
  • Keywords
    Reed-Solomon codes; authorisation; cryptography; AACA traitor tracing security; Reed Solomon codes; advanced access content system; mix-and-match colluding attack; sequence keys; Asia; Broadcasting; Cryptography; DVD; Data security; Forensics; Motion pictures; Paper technology; Protection; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Communications and Networking Conference, 2008. CCNC 2008. 5th IEEE
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-1456-7
  • Electronic_ISBN
    978-1-4244-1457-4
  • Type

    conf

  • DOI
    10.1109/ccnc08.2007.248
  • Filename
    4446546