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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fen Liu Gui Zhang |
| Copyright Year | 2012 |
| Description | Author affiliation: Computer Science department, Tshinghua University, Beijing, China (Gui Zhang) || Security Technology Research Department, Sony (China) Research Laboratory, Beijing, China (Fen Liu) |
| Abstract | In this paper, we report our work to analyze the false positive of the Set-cover probabilistic traitor tracing scheme. The Set-cover scheme was proposed to trace a coalition of traitors simultaneously. Comparing with most tracing schemes, the Set-cover scheme identifies more traitors per tracing. The authors of Set-cover scheme claimed their scheme greatly reduced the false positive and increased the tracing efficiency. They also claimed the Set-cover scheme is a good candidate to replace the tracing scheme used in the standard AACS (Advanced Access Content System). However, we present an Enclosure attack to challenge the Set-cover scheme. With the attack we can frame multi innocent users at one time with unnegligible probability no matter how many movies are detected, namely, the false positive of Set-cover scheme is much higher than the authors claimed. Both of our theoretical results and experimental results show that 39 arbitrary users can successfully frame 7 users with a probability bigger than 80%, which means the false positive is bigger than 80%. Obviously, such a false positive is too high to be applied in practice. |
| Starting Page | 512 |
| Ending Page | 517 |
| File Size | 518205 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457720703 |
| e-ISBN | 9781457720710 |
| DOI | 10.1109/CCNC.2012.6181004 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-01-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Motion pictures Equations Mathematical model Encryption Probabilistic logic Watermarking probabilistic tracing content protection traitor tracing traceability false positive anti-piracy |
| Content Type | Text |
| Resource Type | Article |
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