Accelerating secure circuit design with hardware implementation of Diehard Battery of tests of randomness

Vaskova, Anna; López-Ongil, C.; Millán, Enrique San; Jimenez-Horas, Alejandro; Entrena, Luis

doi:10.1109/iolts.2011.5993835

Cited by 13 publications

(9 citation statements)

References 3 publications

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“…Many embedded tests implementations have been put forward in recent years for both FPGAs [3], [4], [5] and ASIC [3], [6]. However, all presented tests are tailored for independent, identically distributed (IID) number generators.…”

Section: Introductionmentioning

confidence: 99%

On-the-fly tests for non-ideal true random number generators

Yang

Rožić

Mentens

et al. 2015

2015 IEEE International Symposium on Circuits and Systems (ISCAS)

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Abstract-Hardware implementations of statistical tests are needed to detect failures and statistical weaknesses of entropy sources in True Random Number Generators on the fly. Current implementations of these tests work under the assumption that the entropy source produces independent, identically distributed (IID) numbers. However, some entropy sources produce non-IID data and rely on compression to provide the full entropy. Currently there are no embedded test implementations suitable for this type of entropy source. We provide the first FPGA implementation of embedded tests that estimate the generated min-Entropy and verify if it is within the expected boundaries.

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Section: Introductionmentioning

confidence: 99%

On-the-fly tests for non-ideal true random number generators

Yang

Rožić

Mentens

et al. 2015

2015 IEEE International Symposium on Circuits and Systems (ISCAS)

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“…The features were selected based on the previous implementations of on-the-fly tests. We looked into the implementations presented in [2], [3], [4], [5], [6], [7], [8], [9] and selected the features that can be implemented in a simple and compact manner. In addition, we recommended using the auto-correlation coefficients.…”

Section: B Design Stepsmentioning

confidence: 99%

“…Related work can be divided into two groups. The first group consists of implementations of standard statistical tests [2], [3], [4], [5], [6], [7], [8], [9]. These tests are originally designed for prototype evaluation, so some of them are too computationally intensive to be practical for on-the-fly testing.…”

Section: Introductionmentioning

confidence: 99%

TOTAL: TRNG On-the-fly Testing for Attack Detection using Lightweight Hardware

Yang

Rožić

Mentens

et al. 2016

Proceedings of the 2016 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE)

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We present a design methodology for embedded tests of entropy sources. These tests are necessary to detect attacks and failures of true random number generators. The central idea of this work is to use an empirical design methodology consisting of two phases: collecting the data under attack and finding a useful statistical feature. In this work we focus on statistical features that are implementable in lightweight hardware. This is the first paper to address the design of on-the-fly tests based on the attack effects. The presented design methodology is illustrated with 2 examples: an elementary ring-oscillator based TRNG and a carrychain based TRNG. The effectiveness of the tests was confirmed on FPGA prototypes.

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“…Hardware implementations of 4 FIPS tests are proposed in [7], [8]. Implementations of 2 simple tests from NIST and 4 from DIEHARD suites are presented in [9] and [10]. In [11], an FPGA implementation based on dynamic reconfiguration was provided.…”

Section: A Previous Workmentioning

confidence: 99%

Embedded HW/SW Platform for On-the-Fly Testing of True Random Number Generators

Yang¹,

Rožić²,

Mentens³

et al. 2015

Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE), 2015

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Abstract-We present a HW/SW platform for on-the-fly detection of failures and weaknesses in entropy sources. By splitting the operations between hardware and software, we achieve sufficient flexibility to control the level of significance of the tests. This approach also enables sharing resources between different tests thereby reducing the area and power. Statistical tests were selected from the NIST test suite. We propose several versions of hardware co-processors for monitoring random bit sequences, ranging from 52 slices (5 tests) to 552 slices (9 tests) on Spartan-6 FPGA. We are the first to provide implementations of the Serial test and the Approximate entropy test for on-the-fly monitoring.

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Accelerating secure circuit design with hardware implementation of Diehard Battery of tests of randomness

Cited by 13 publications

References 3 publications

On-the-fly tests for non-ideal true random number generators

On-the-fly tests for non-ideal true random number generators

TOTAL: TRNG On-the-fly Testing for Attack Detection using Lightweight Hardware

Embedded HW/SW Platform for On-the-Fly Testing of True Random Number Generators

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