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From the initial recovery of the digital asset, anyone in the chain can be responsible for losing or stealing that particular material: employees working at the studio or content owners, translators or subtitle editors, couriers transporting copies, content aggregators, IPTV service providers, subscribers, etc There is always the question as to who was responsible for the content loss, and, with hundreds of IPTV service providers and content aggregators and millions of subscribers, this question is even more difficult to answer The IPTV infrastructure relies on the IP set top box to transform the encoded encrypted video stream and subsequently the MPEG contents into NTSC/PAL that can be interpreted by the TV set Personal video recorders and similar technologies may also store copies in clear text outside the security domain provided by the DRM.

The number of root servers as well as the number of hierarchy levels in a pyramid, the number of platform servers in a level, and the size of geographical regions can be adapted according to the requirements of a particular deployment scenario In order to store user-speci c data that is relevant to the middleware, pro les are assigned to each mobile user A pro le contains information on the user s terminal as well as privacy-related settings, such as a ag indicating whether the user s position is to be exposed to other users More than that, possibly de ned auras and events are all stored in the pro le These user pro les are managed by so-called Pro le Servers Each pro le is stored persistently at exactly one Pro le Server, making this server the authoritative.

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The 1815 and 1750 cm 1 pair corresponds to the C=O stretching bands of the compound shown in Figure 4.7(a), while the 1865 and 1780 cm 1 pair is associated with the compound shown in Figure 4.7(b). The latter compound is cyclic, and so the bands produced by this compound will appear at higher wavenumbers.

For those situations, content owners are starting to implement the use of digital marks to be used in forensic investigations Digital fingerprints can be used to mark the video stream with information about the specific subscriber represented by the private key of the set top box, perhaps with a time stamp added Once the content is marked, even if it is encoded, filtered or modified, the fingerprint will remain with the video stream and can be easily retrieved by forensic investigation using the keys embedded by the content owners Information provided to the subscribers about the existence of this technology can reduce the inclination of some individuals to share contents on the Internet or sell them Some current set top box designs include chips with substantial computational resources capable of embedding a digital fingerprint in real time.

E (4615)

This facilitates the process of marking the content and ensures that it reaches the set top box and is not intercepted en route Technology has been used by both content owners and criminals Clearly, steganography is one of the next fields of combat, and both sides will try to prevail Weak steganographic controls will end up in costly losses both in terms of credibility and in terms of digital assets There are examples of steganographic tools that leave default headers and markings in digital files, making it trivial to recognize the existence of a hidden message on a particular file Programmers and developers must ensure not only that the algorithms used are sound but also that the overall application used to embed the digital marks is secure and modifications are not easily traceable.

The rst two lines are obtained by differentiating with respect to u, the densities pY (0) (0) = pX(0) ( u), pY (1) (0) = pX(1) ( u), and pY (t1 ),Y (t1 ) (0, 0) = pX(t1 ),X (t1 ) ( u, 0). Lines 3 and 4 come from the application of Lemma 7.7 to differentiate E[1A(Y 0 ) ]. The lemma is applied with Z = X0 , = 0 , and = 1. Similarly, lines 5 and 6 contain the derivative of E[1A(Y 1 ) ]. The remainder corresponds to differentiating the function I I E[Y t1 (t1 ) 1A(Y t1 ) ] = E[(Xt1 (t1 ) t1 (t1 )u) 1Au (Xt1 , t1 ) ] in the integrand of the third term in (7.22). The rst term in line 7 comes from the simple derivative I I E[(Xt1 (t1 ) t1 (t1 )v) 1Au (Xt1 , t1 ) ] = t1 (t1 )E( 1A(Y t1 ) ). v

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