We revisit recent results from the area of collusion-resistant traitor tracing, and show how they can be combined and improved to obtain more efficient dynamic traitor tracing schemes. In particular, we show how the dynamic Tardos scheme of can be combined with the optimized score functions of to trace coalitions much faster. If the attack strategy is known, in many cases the order of the code length goes down from quadratic to linear in the number of colluders, while if the attack is not known, we show how the interleaving defense may be used to catch all colluders about twice as fast as in the dynamic Tardos scheme. Some of these results also apply to the static traitor tracing setting where the attack strategy is known in advance, and to group testing.
Traitor tracing schemes were introduced to combat the typical piracy scenario whereby pirate decoders (or access control smartcards) are manufactured and sold by pirates to illegal subscribers. Those traitor tracing schemes, however, are ineffective for the currently less common scenario where a pirate publishes the periodical access control keys on the Internet or, alternatively, simply rebroadcasts the content via an independent pirate network. This new piracy scenario may become especially attractive (to pirates) in the context of broadband multicast over the Internet. In this paper we consider the consequences of this type of piracy and offer countermeasures. We introduce the concept of dynamic traitor tracing which is a practical and efficient tool to combat this type of piracy. This paper discusses methods for assigning code-words for the purpose of fingerprinting digital data, e.g., software, documents, music, and video. Fingerprinting consists of uniquely marking and registering each copy of the data. This marking allows a distributor to detect any unauthorized copy and trace it back to the user. This threat of detection will deter users from releasing unauthorized copies. A problem arises when users collude: for digital data, two different fingerprinted objects can be compared and the differences between them detected. Hence, a set of users can collude to detect the location of the fingerprint. They can then alter the fingerprint to mask their identities. We present a general fingerprinting solution which is secure in the context of collusion. In addition, we discuss methods for distributing fingerprinted data. Dynamic traitor tracing schemes were introduced by Fiat and Tassa in order to combat piracy in active broadcast scenarios. In such settings the data provider supplies access control keys to its legal customers on a periodical basis. A number of users may collude in order to publish those keys via the Internet or any other network. Dynamic traitor tracing schemes rely on the feedback from the pirate network in order to modify their key allocation until they are able either to incriminate and disconnect all traitors or force them to stop their illegal activity. Those schemes are deterministic in the sense that incrimination is always certain. As such deterministic schemes must multiply the critical data by at least p + 1, where p is the number of traitors, they may impose a too large toll on bandwidth. We suggest here probabilistic schemes that enable one to trace all traitors with almost certainty, where the critical data is multiplied by two, regardless of the number of traitors. These techniques are obtained by combining dynamic traitor tracing schemes with binary fingerprinting techniques, such as those proposed by Boneh and Shaw.