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Platform for Testing and Evaluation of PUF and TRNG Implementations in FPGAs

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hdl:2117/99208

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Laban, Marek
Drutarovsky, Milos
Fischer, Viktor
Varchola, Michal
Document typeConference report
Defense date2016-11-16
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
This work is protected by the corresponding intellectual and industrial property rights. Except where otherwise noted, its contents are licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
Implementation of cryptographic primitives like Physical Unclonable Functions (PUFs) and True Random Number Generators (TRNGs) depends significantly on the underlying hardware. Common evaluation boards offered by FPGA vendors are not suitable for a fair benchmarking, since they have different vendor dependent configuration and contain noisy switching power supplies. The proposed hardware platform is primary aimed at testing and evaluation of cryptographic primitives across different FPGA and ASIC families. The modular platform consists of a motherboard and exchangeable daughter board modules. These are designed to be as simple as possible to allow cheap and independent evaluation of cryptographic blocks and namely PUFs. The motherboard is based on the Microsemi SmartFusion 2 SoC FPGA. It features a low-noise power supply, which simplifies evaluation of vulnerability to the side channel attacks. It provides also means of communication between the PC and the daughter module. Available software tools can be easily customized, for example to collect data from the random number generator located in the daughter module and to read it via USB interface. The daughter module can be plugged into the motherboard or connected using an HDMI cable to be placed inside a Faraday cage or a temperature control chamber. The whole platform was designed and optimized to fullfil the European HECTOR project (H2020) requirements.
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1: Zona Universitària-Escola T S d'Enginyers, 08028 Barcelona, Espanya
URIhttp://hdl.handle.net/2117/99208
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