By Jutta Hämmerle-Uhl, Michael Pober, Andreas Uhl (auth.), Bart De Decker, Jana Dittmann, Christian Kraetzer, Claus Vielhauer (eds.)
This e-book constitutes the refereed court cases of the 14th IFIP TC 6/TC eleven overseas convention on Communications and Multimedia protection, CMS 2013, held in Magdeburg, Germany, in September 2013. The five revised complete papers provided including eleven brief papers, five prolonged abstracts describing the posters that have been mentioned on the convention, and a pair of keynote talks have been rigorously reviewed and chosen from 30 submissions. The papers are equipped in topical sections on biometrics; utilized cryptography; electronic watermarking, steganography and forensics; and social community privateness, safeguard and authentication.
Read Online or Download Communications and Multimedia Security: 14th IFIP TC 6/TC 11 International Conference, CMS 2013, Magdeburg, Germany, September 25-26, 2013. Proceedings PDF
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Extra info for Communications and Multimedia Security: 14th IFIP TC 6/TC 11 International Conference, CMS 2013, Magdeburg, Germany, September 25-26, 2013. Proceedings
CMS 2013, LNCS 8099, pp. 34–49, 2013. c IFIP International Federation for Information Processing 2013 Client-Side Biometric Veriﬁcation Based on Trusted Computing 35 the credential. Existing solutions typically use a tamperproof device such as a smart card on which the user’s biometric template and credentials are stored. The user can activate these credentials by transferring her biometric scan to the tamperproof device. This binds the user to the credentials stored on the tamperproof device.
To this end, an embedded secure element can be used for managing this data. A5 The service providers correctly verify the received attestations. 3 General Approach A user authenticates on the workstation towards a remote service provider. The service provider requires that the user proves ownership of the used credentials, before allowing access to its services. To his end, the user’s credentials are bound to her biometrics. e. the PAL). In addition, the PAL informs the user about the details of the pending authentication.
85 in the ﬁrst step and then 30 B. Driessen and M. D¨ urmuth Fig. 8. 85. , previous work maps these to the same average image. modiﬁed the jets of the resulting images to resemble the average of the same set of clusters (still grouped by MahCosine). Figure 6 shows the recognition performance of all algorithms when operating on the same set of images. We see that the EBGM algorithm fares better in recognizing de-identiﬁed subjects than the other methods, but still only gets a 55% rank-0 recognition rate, see the discussion in the next section.