By Hieu Cuong Nguyen, Stefan Katzenbeisser (auth.), Bart De Decker, David W. Chadwick (eds.)
This booklet constitutes the refereed complaints of the thirteenth IFIP TC 6/TC eleven foreign convention on Communications and Multimedia safety, CMS 2012, held in Canterbury, united kingdom, in September 2012. The 6 revised complete papers awarded including eight brief papers, eight prolonged abstracts describing the posters that have been mentioned on the convention, and a pair of keynote talks have been conscientiously reviewed and chosen from forty three submissions. The papers are geared up in topical sections on photo and handwriting research, authentication and function, biometrics, forensics and watermarking, and communications security.
Read or Download Communications and Multimedia Security: 13th IFIP TC 6/TC 11 International Conference, CMS 2012, Canterbury, UK, September 3-5, 2012. Proceedings PDF
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Extra resources for Communications and Multimedia Security: 13th IFIP TC 6/TC 11 International Conference, CMS 2012, Canterbury, UK, September 3-5, 2012. Proceedings
CMS 2010. LNCS, vol. 6109, pp. 178–190. Springer, Heidelberg (2010) 13. : Advanced Studies on Reproducibility of Biometric Hashes. , Tistarelli, M. ) BIOID 2008. LNCS, vol. 5372, pp. 150–159. be Abstract. Physically Unclonable Functions are a promising tool to protect against counterfeiting attacks. Yet, as with any security system, it is important to embed them in a sound protocol, ensuring that no unexpected weakness is present in the “mortar” binding the components together. This paper proposes an anti-counterfeiting protocol that provably reduces to natural properties of its underlying components, namely an image-based Physical Function System bearing physical unclonability and an existentially unforgeable signature scheme.
For anti-counterfeiting applications, the core concept of using PUF primitives is to rely on the unique physical properties to identify a product. The PUF can be either intrinsic in the product or extrinsic and glued to the product. g. EPC code) together B. W. ): CMS 2012, LNCS 7394, pp. 26–38, 2012. c IFIP International Federation for Information Processing 2012 Security Analysis of Image-Based PUFs for Anti-counterfeiting 27 with the information extracted from the embedded PUF and use this signature as the certiﬁcate of authenticity [7–11].
It seems that an applied feature mask vector has even a greater security impact on artificially generated data then on genuine data and random attacks. Collision rates caused by the artificial generated data (in almost every semantic 0%) support this assumption. These results point out, that an applied specific feature mask vector improves not only the verification but also the security performance of the Biometric Hash algorithm by reducing error rates imposed by artificial samples. 76% during an applied MV needs to be studied further.