By Satoshi Hada, Kouichi Sakurai (auth.), Atsuko Miyaji, Hiroaki Kikuchi, Kai Rannenberg (eds.)
The foreign Workshop on safety (IWSEC 2007) was once 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. permitted 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 each one. we might liketo thank the entire authors who submitted papers to IWSEC 2007. The contributed papers have been supplemented by means of one invited speak from the - inent researcher Prof. Doug Tygar (UC Berkeley) in details protection. We have been lucky to have an lively crew of specialists who shaped this system Committee. Their names could be chanced on overleaf, and we're truly thankful for all their nice e?orts. This group used to be supported through a fair better variety of people who reviewedpapers of their particularareasof services. an inventory of those names can also be 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
Watermarked images are averaged and performed JPEG compression with quality 35 %, and the simulation is iterated 104 times. We set P e0 = 10−3 and P e1 = 10−6 ∼ 10−8 . From Fig. 8, the detection rate of optimized scheme has up to approximately 20∼30% improvement over that of basic scheme when the number of colluders is from 12 to 18. In optimized scheme, If the number of colluders is less than 10, we can catch almost all colluders with very high probability. Fig. 9 shows the average number of false positive detection on the same conditions.
In our embedding procedure, we realize the hierarchical structure between the sequences using PN sequence, which increase the number of users admitted in our ﬁngerprinting system. Furthermore, assigning one spectrum component for embedding each ID, the watermark signal resists against averaging attack since the components forming the sequence are independent to each other. At a detection of the watermark, an optimal threshold is calculated for a given probability of false positive detection. 1 Approach A ﬁngerprint is embedded into the sequences which consists of the spectral components especially extracted from an host signal using a secret key.
If a strong energy is allocated to α1 , user IDs are more accurately detected. However, a larger α1 also reduces the detection accuracy of group ID and makes it harder to narrow down the individual user in the group. From the above paragraph, a threshold T0 should be lower in order to detect more group IDs of colluders even if wrong group IDs are detected. With a small α0 , we could expect to archive a maximum performance because a large α1 brings the improvement on detection of user ID. Thus, we set 38 N.