By Satoshi Hada, Kouichi Sakurai (auth.), Atsuko Miyaji, Hiroaki Kikuchi, Kai Rannenberg (eds.)
The foreign Workshop on defense (IWSEC 2007) used to be the second one within the annualseriesthat startedin 2006.IWSEC 2007washeld on the New Public corridor in Nara, Japan, in the course of October 29–31, 2007. This 12 months there have been 112 paper submissions, and from those 30 papers have been approved. approved papers got here from 27 di?erent nations, with the biggest share coming from Japan (12). Estonia, China, Korea, Spain, Taiwan and the united states contributed 2 papers every one and Canada, Germany, Greece, Poland, Turkeyand Vietnam contributed 1 paper every one. we might liketo thank all the authors who submitted papers to IWSEC 2007. The contributed papers have been supplemented through one invited speak from the - inent researcher Prof. Doug Tygar (UC Berkeley) in details safeguard. We have been lucky to have an brisk workforce of specialists who shaped this system Committee. Their names will be discovered overleaf, and we're in actual fact thankful for all their nice e?orts. This group used to be supported by way of an excellent better variety of people who reviewedpapers of their particularareasof services. a listing of those names is usually supplied; we are hoping it really is complete.
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Extra resources for Advances in Information and Computer Security: Second International Workshop on Security, IWSEC 2007, Nara, Japan, October 29-31, 2007. Proceedings
Trinomials with minimum k for each m). The reason of this is that for the cases of reduction by ROT the number of shift operations on multiple precision data reduces to less than half comparing with the cases by other trinomials. Implementation results show that reduction algorithm specialized for ROT is 20–30% faster on 32-bit CPU and around 40% faster on 16-bit CPU than algorithm for irreducible trinomials with general k. Keywords: pairing, software implementation, irreducible polynomial, reduction optimal trinomial, characteristic three, ﬁnite ﬁeld.
Dˆ1 ( − 1)}. 4) If d1 (k) is more than a threshold T1 , detect k as user ID i1 . Note that when some group IDs are detected, we examine each user ID corresponding to each group ID in order to identify all colluders. Therefore, our scheme is designed for catch many-type ﬁngerprinting . Then The details of deciding the threshold T0 and T1 according to the probability of false detection is discussed in Section 4. 4 Optimization In this section, we propose an optimal method to obtain a proper threshold and corresponding parameters.
On Image Process 14(5), 646– 661 (2005) 6. : Anti-collusion forensics of multimedia ﬁngerprinting using orthogonal modulation. IEEE Trans. on Image Process 14(6), 804–821 (2005) 7. : Multimedia content screening using a dual watermarking and ﬁngerprinting system. In: Proc. of ACM Multimedia, pp. 372– 381 (2002) 8. : An improved attack analysis on a publickey spread spectrum watermarking. Journal of Multimedia systems 11(2), 133–142 (2005) 9. : Collusion secure convolutional spread spectrum ﬁngerprinting.