A low-cost multi-purpose experimental FPGA board for cryptography applications

Bartík, Matěj; Buček, Jiří

doi:10.1109/aieee.2016.7821811

Cited by 7 publications

(5 citation statements)

References 8 publications

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“…• DPABoard [19] (open experimental board) with Xilinx Artix 7 FPGA in two revisions: with a switching power supply, and with a low-noise power supply, • Sakura-G board [20] with Xilinx Spartan 6 FPGA, • Evariste III system [21] with development board containing Altera Cyclone III FPGA, customized by removing the decoupling capacitors. While working with the DPABoard [19] with a switching power supply, we have experienced a lot of unwanted noise in the measured power traces. A correlation trace based on these power traces is shown in Figure 2.…”

Section: Resultsmentioning

confidence: 99%

“…Tables I and II contain the results based on the correlation traces obtained from an open DPA evaluation board DPABoard [19] with Xilinx Artix 7. We have evaluated these distinguishers using two different revisions of the board: Table I and Figure 4a present the results when using the DPABoard with a switching power supply.…”

Section: A Evaluation Of Proposed Distinguishersmentioning

confidence: 99%

“…Table V presents a number of power traces necessary for obtaining the whole 16-byte long AES key, using the open FPGA evaluation platform DPABoard [19] (Xilinx Artix 7) with a switching power supply. While for the Maximum Pearson distinguisher, we could not retrieve the whole key even with 100,000 power traces available, with optimal First derivative distinguisher only 2,400 power traces are necessary to obtain the whole key.…”

Section: B Gaussian Parameters Evaluationmentioning

confidence: 99%

See 2 more Smart Citations

Efficient algorithmic evaluation of correlation power analysis: Key distinguisher based on the correlation trace derivative

Socha

Miškovský

Kubátová

et al. 2019

Microprocessors and Microsystems

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Section: Resultsmentioning

confidence: 99%

Section: A Evaluation Of Proposed Distinguishersmentioning

confidence: 99%

Section: B Gaussian Parameters Evaluationmentioning

confidence: 99%

See 1 more Smart Citation

Efficient algorithmic evaluation of correlation power analysis: Key distinguisher based on the correlation trace derivative

Socha

Miškovský

Kubátová

et al. 2019

Microprocessors and Microsystems

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“…A board called Flexible Open-source BOard for Sidechannel analysis (FOBOS), intended to perform side-channel analysis and to test implementation attack resistance of systems, was introduced in [42] and further described in [43], highlighting that a complete open-source software package solution including drivers to run test cases on the board, equipment for measurement control, and several side-channel analysis techniques was not readily available. As pointed out in [44], FOBOS shares the same idea of SASEBO (dual FPGA system control-victim), but each part is created from an individual development board. The last released software version of FOBOS for PC, a beta version, is version 0.1, written in Python 2, freely available in [45].…”

Section: Related Workmentioning

confidence: 99%

A Modular and Optimized Toolbox for Side-Channel Analysis

et al. 2019

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The aim of this paper is to describe the characteristics of a toolbox developed to carry out a side-channel analysis of cryptosystems implemented in physical devices. The toolbox, called RamDPA and developed in C++, is flexible and modular and has been initially designed to carry out differential power analysis attacks. Different modules are used to enter text, keys, and hypothetical values related to the cryptographic algorithm under analysis, to control the digital oscilloscope in charge of the acquisition of power consumption traces, and to carry out the statistical operations to get the unknown key. An analysis of the different options to program the modules has been performed in order to optimize the toolbox in terms of memory consumption and execution time. Usually, the optimization of side-channel attacks comes from the selection of points-of-interest and re-sampling. Instead of that approach, the proposed toolbox optimizes DPA attacks from caching strategy and multithreading. Results are presented by applying RamDPA to extract an AES-128 key with the traces provided by the CHES2016 capture The Flag challenge. INDEX TERMS Cryptography, information security, open source software, side-channel attacks, software tools.

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“…Another way of doing cryptography is to use dedicated devices instead of running any kind of written program on CPU [3][4][5]. That kind of cipher chips are built with either programmable circuits such as FPGA [4,5] or specially designed security processors. Such electronic circuits are currently widely used in smartphones.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary algorithms with and without adaptive mutation in AI based cryptography

Tybura

2018

ITM Web Conf.

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The key role of cryptography is to make cipher so hard to reproduce without knowing all the details that no one besides the recipient could decipher the message. Those algorithms which are used nowadays gets its security mostly from highly reliable algorithms and/or complicated cryptographic keys. Unfortunately, those human-made methods aren‘t invulnerable so sooner or later they compromise. So, it could be really useful to make a cipher which could change. But currently only neural networks are capable of thing known as transfer learning. In this article similar method was proposed in order to make it possible to re-learn already established evolutionary algorithm to do new, similar task.

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A low-cost multi-purpose experimental FPGA board for cryptography applications

Cited by 7 publications

References 8 publications

Efficient algorithmic evaluation of correlation power analysis: Key distinguisher based on the correlation trace derivative

Efficient algorithmic evaluation of correlation power analysis: Key distinguisher based on the correlation trace derivative

A Modular and Optimized Toolbox for Side-Channel Analysis

Evolutionary algorithms with and without adaptive mutation in AI based cryptography

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