By Ueli Maurer (auth.), Radu Sion (eds.)
This publication constitutes the completely refereed post-conference lawsuits of the 14th overseas convention on monetary Cryptography and knowledge protection, FC 2010, held in Tenerife, Canary Islands, Spain in January 2010. the nineteen revised complete papers and 15 revised brief papers awarded including 1 panel file and seven poster papers have been conscientiously reviewed and chosen from a hundred thirty submissions. The papers conceal all points of securing transactions and structures and have present examine targeting either basic and utilized real-world deployments on all facets surrounding trade protection.
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Additional resources for Financial Cryptography and Data Security: 14th International Conference, FC 2010, Tenerife, Canary Islands, January 25-28, 2010, Revised Selected Papers
Estimate. The Belgian passports have such low entropy because the passport numbers are mostly numeric and issued sequentially, Avoine et al. show that an eavesdropping attack can ﬁnd the key in about a second, whereas an online attack against only a passport could take a few weeks, in the worst case. Carluccio et al. [CLRPS06] and Liu et al. [LKLRP07] both present hardware architectures that can speed up the cracking process, however they also assume that the attacker has some previous knowledge about the victim, such as their birthday and has observed a correct run of the protocol.
The contents of some of these data groups have been deﬁned but are not yet used in practice, such as iris scans (DG4), holder’s signature (DG7) and the address of someone to contact in an emergency (DG16). Data groups 11 and 12 are for optional additional information depending on the country, for example, 3 For the rest of this document we will use “passport” to mean “e-passport”, rather than a passport without an RFID tag, and only use e-passport when we want to underline the diﬀerence between the two.
Xn ) = (y1 , y2 , . . , yn ), where Pi has private input xi and output yi . Roughly speaking, the protocols ensure that the output is correct and the computation does not reveal anything else besides the agreed upon output. Secure computation can solve business problems where input data belongs to diﬀerent parties and cannot be revealed or shared with other parties. For example, information sharing and collaborative decision making can substantially improve supply chain performance. , production costs and capacity), since the risks associated with revealing it exceed the beneﬁts gained.