A novel transition effect ring oscillator based true random number generator for a security SoC

Li, TangShengSheng; Wu, Liji; Zhang, Xiangmin; Wu, Xiaojie; Zhou, Jin Cheng; Wang, Xiaolu

doi:10.1109/edssc.2017.8126539

Cited by 9 publications

(4 citation statements)

References 4 publications

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“…As shown, the histograms of the number of oscillations are very different from one element to another: some, like TERO 5, almost have a fixed number of oscillations, while others, like TERO 4, show a more complex plot. This variability was also found in [26]. The authors in [26,27] claim that routing and placing dependency is the main disadvantage of TERO.…”

Section: Transition Effect Ring Oscillator (Tero)mentioning

confidence: 72%

“…This variability was also found in [26]. The authors in [26,27] claim that routing and placing dependency is the main disadvantage of TERO. Techniques for overcoming this issue have been implemented in [27] on a Xilinx FPGA.…”

Section: Transition Effect Ring Oscillator (Tero)mentioning

confidence: 72%

“…Using a 10-bit counter instead of a single T Flip flop, not only we determine if the number of oscillations is odd or even: it is possible to check the exact number of oscillations. The expected outcome is to find a distribution of the number of oscillations similar to the ones showed in [25,26]. The actual output random variable is a binary variable which equals one if the amount of oscillation is an odd number or zero if it is an even number.…”

Section: Transition Effect Ring Oscillator (Tero)mentioning

confidence: 86%

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True Random Number Generator Based on Fibonacci-Galois Ring Oscillators for FPGA

et al. 2021

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Random numbers are widely employed in cryptography and security applications. If the generation process is weak, the whole chain of security can be compromised: these weaknesses could be exploited by an attacker to retrieve the information, breaking even the most robust implementation of a cipher. Due to their intrinsic close relationship with analogue parameters of the circuit, True Random Number Generators are usually tailored on specific silicon technology and are not easily scalable on programmable hardware, without affecting their entropy. On the other hand, programmable hardware and programmable System on Chip are gaining large adoption rate, also in security critical application, where high quality random number generation is mandatory. The work presented herein describes the design and the validation of a digital True Random Number Generator for cryptographically secure applications on Field Programmable Gate Array. After a preliminary study of literature and standards specifying requirements for random number generation, the design flow is illustrated, from specifications definition to the synthesis phase. Several solutions have been studied to assess their performances on a Field Programmable Gate Array device, with the aim to select the highest performance architecture. The proposed designs have been tested and validated, employing official test suites released by NIST standardization body, assessing the independence from the place and route and the randomness degree of the generated output. An architecture derived from the Fibonacci-Galois Ring Oscillator has been selected and synthesized on Intel Stratix IV, supporting throughput up to 400 Mbps. The achieved entropy in the best configuration is greater than 0.995.

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Section: Transition Effect Ring Oscillator (Tero)mentioning

confidence: 72%

Section: Transition Effect Ring Oscillator (Tero)mentioning

confidence: 72%

Section: Transition Effect Ring Oscillator (Tero)mentioning

confidence: 86%

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True Random Number Generator Based on Fibonacci-Galois Ring Oscillators for FPGA

et al. 2021

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“…Inspired by the circuit topologies of synchronous Linear Feedback Shift Registers (LFSRs), in the structures proposed by Golíc, the synchronous registers are substituted with digital inverters, act as delay elements, and obtain networks of inverting gates with multiple XOR-ed feedbacks. A number of full-digital random number generators have been investigated in the literature, exploiting entropy sources based on these asynchronous circuits [3][4][5][6][7][8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Complex Dynamics in Digital Nonlinear Oscillators: Experimental Analysis and Verification

et al. 2023

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A specific topology of Digital Nonlinear Oscillators (DNOs) has been implemented by using commercial off-the-shelf digital components to experimentally verify and demonstrate the capability of these circuits to support complex dynamics, independently from their implementation technology. In detail, a direct experimental evidence of the DNO dynamical behavior is presented at the analog level with a bifurcation diagram analysis, investigation of periodic and chaotic attractors, and dynamical stability. The autonomous circuit has been investigated as a source of entropy, adopting different figures of merit, including the Lempel–Ziv Complexity, to evaluate the dynamics measured under different operating conditions.

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A metastable RNG using interleaved NAND- and NOR-based TEROs

Wang,

Tolentino,

et al. 2024

International Journal of Electronics Letters

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A novel transition effect ring oscillator based true random number generator for a security SoC

Cited by 9 publications

References 4 publications

True Random Number Generator Based on Fibonacci-Galois Ring Oscillators for FPGA

True Random Number Generator Based on Fibonacci-Galois Ring Oscillators for FPGA

Complex Dynamics in Digital Nonlinear Oscillators: Experimental Analysis and Verification

A metastable RNG using interleaved NAND- and NOR-based TEROs

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