By Satoshi Hada, Kouichi Sakurai (auth.), Atsuko Miyaji, Hiroaki Kikuchi, Kai Rannenberg (eds.)
The foreign Workshop on safety (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 authorized. accredited papers got here from 27 di?erent international locations, with the most important share coming from Japan (12). Estonia, China, Korea, Spain, Taiwan and the united states contributed 2 papers each one and Canada, Germany, Greece, Poland, Turkeyand Vietnam contributed 1 paper each one. we might liketo thank all the authors who submitted papers to IWSEC 2007. The contributed papers have been supplemented via one invited speak from the - inent researcher Prof. Doug Tygar (UC Berkeley) in details safety. We have been lucky to have an lively staff of specialists who shaped this system Committee. Their names should be stumbled on overleaf, and we're essentially thankful for all their nice e?orts. This staff was once supported through an excellent greater variety of people who reviewedpapers of their particularareasof services. a listing of those names can be supplied; we are hoping it's complete.
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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
1 Perceptual Quality We evaluate the relation between a watermark strength and image quality. Considering that the degradation in the image will be noticeable when PSNR is less than 39 dB, we suppose that α0 = α1 = 500 are the maximum strength and assume them as the criterion of the image quality. Fig. 26 dB. (a) Original image (b) Watermarked image α0 = α1 = 500 Fig. 5. 2 Evaluation of Statistical Property In our scheme, we set a threshold based on the statistical property of the distribution of each detection sequence.
Vˆ1 ( − 1)}. c) Add α1 to vˆ1 (i1 ) to obtain vˆ1 . d) Aplly 1-D IDCT of vˆ1 and multiply it by P N (i0 ) to obtain a watermarked sequence v1 . 4) Substitute v0 and v1 for original DCT coeﬃcients, and apply IDCT to obtain a watermarked image. We add αm to vˆm (im ), (m = 0, 1) in order to assign im -th spectrum component in vˆm . Note that we have to decide a watermark strength αm carefully since a larger Collusion-Resistant Fingerprinting Scheme Based on the CDMA-Technique 35 αm increases the robustness against attacks but it also causes more degradation to the watermarked image.
In order to exclude such components eﬃciently, Eq. (4) is applied in our optimized scheme. The results are shown in Table 2. It is certiﬁed that the optimized scheme can obtain proper variances, hence thresholds can be designed based on the statistical property. 2 0 -40 -20 0 0 20 40 60 80 100 120 the size DCT coefficient (a) Detection sequence dˆ0. -20 0 20 40 the size DCT coefficient 60 (b) Detection sequence dˆ1. Fig. 6. Distribution of detection sequences Table 2. 24 Optimized Combination of Watermark Strengths In the optimized scheme discussed in Section 4, we give weight to watermark strengths, α0 and α1 .
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.)