By Satoshi Hada, Kouichi Sakurai (auth.), Atsuko Miyaji, Hiroaki Kikuchi, Kai Rannenberg (eds.)
The foreign Workshop on protection (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 yr there have been 112 paper submissions, and from those 30 papers have been authorized. approved papers got here from 27 di?erent nations, with the most important percentage coming from Japan (12). Estonia, China, Korea, Spain, Taiwan and the us contributed 2 papers each one and Canada, Germany, Greece, Poland, Turkeyand Vietnam contributed 1 paper each one. we might liketo thank the entire authors who submitted papers to IWSEC 2007. The contributed papers have been supplemented by way of one invited speak from the - inent researcher Prof. Doug Tygar (UC Berkeley) in info safety. We have been lucky to have an lively staff of specialists who shaped this system Committee. Their names could be discovered overleaf, and we're clearly thankful for all their nice e?orts. This group used to be supported by means of an excellent higher variety of people who reviewedpapers of their particularareasof services. a listing of those names is additionally supplied; we are hoping it's complete.
Read Online or Download Advances in Information and Computer Security: Second International Workshop on Security, IWSEC 2007, Nara, Japan, October 29-31, 2007. Proceedings PDF
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Additional resources for Advances in Information and Computer Security: Second International Workshop on Security, IWSEC 2007, Nara, Japan, October 29-31, 2007. Proceedings
3 Extraction At the detector side, an host image and secret keys used in embedding are required. Since a user’s ﬁngerprint is embedded separately by two kinds of IDs, i0 and i1 , a two-level detection algorithm is conducted. We ﬁrst determine which group ID is present in a watermarked image to identify the group to which the illegal user belongs, and then we focus on the identiﬁed group to examine user ID. The latter operation is performed to the sequence using the PN sequence generated from the identiﬁed group ID as a seed.
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. We ﬁrst describe the speciﬁc technique in setting the threshold for examining the watermark, and then consider the parameters used in 36 N. Hayashi, M. Kuribayashi, and M. Morii the ﬁngerprinting scheme, estimating the parameters for optimal embedding and detection to our basic scheme presented in Section 3.
Table 1. An example of assigned ﬁngerprint to 9 users v1 (0) v1 (1) v1 (2) v0 (0) user 1 user 2 user 3 v0 (1) user 4 user 5 user 6 v0 (2) user 7 user 8 user 9 In our technique, we suppose that each user’s ﬁngerprint consists of two parts of information. One is to identify the group where a user belongs to and the other represents an individual user in the group. Then, we call the group information “group ID” and the information for distinguishing individual users “user ID”. 1. The details to embed and detect user’s ﬁngerprint are discussed in Section 3.
Advances in Information and Computer Security: Second International Workshop on Security, IWSEC 2007, Nara, Japan, October 29-31, 2007. Proceedings by Satoshi Hada, Kouichi Sakurai (auth.), Atsuko Miyaji, Hiroaki Kikuchi, Kai Rannenberg (eds.)