DVFT: A Lightweight Solution for Power-Supply Noise-Based TRNG Using Dynamic Voltage Feedback Tuning System

Tehranipoor, Fatemeh; Wortman, Paul A.; Karimian, Nima; Yan, Wei; Chandy, John A.

doi:10.1109/tvlsi.2018.2804258

Cited by 21 publications

(10 citation statements)

References 22 publications

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“…On the other hand, programmable hardware and programmable System on Chip are gaining large adoption rate, also in a security-critical application, where high-quality random number generation is mandatory. Digital TRNGs can be implemented using logic gates only, exploiting digital sources of randomness, such as supply voltage noise [10,11] metastability [12][13][14] and jitter [15][16][17]: the area footprint, in this case, is dramatically reduced by the absence of analogue circuitry and the consequent possibility of mapping all the design in digital standard-cell.…”

Section: Introduction: Random Number Generation For Securitymentioning

confidence: 99%

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: Introduction: Random Number Generation For Securitymentioning

confidence: 99%

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

et al. 2021

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“…A TRNG is a device that generates random numbers from a physical process by utilizing random "noise" signals, such as random telegraph noise, a chip's power supply noise, etc. [13][14][15][16]. The aim of a TRNG is to generate random numbers that are utterly unpredictable (and often with lightweight hardware).…”

Section: True Random Number Generatorsmentioning

confidence: 99%

Flash-Based Security Primitives: Evolution, Challenges and Future Directions

et al. 2021

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Over the last two decades, hardware security has gained increasing attention in academia and industry. Flash memory has been given a spotlight in recent years, with the question of whether or not it can prove useful in a security role. Because of inherent process variation in the characteristics of flash memory modules, they can provide a unique fingerprint for a device and have thus been proposed as locations for hardware security primitives. These primitives include physical unclonable functions (PUFs), true random number generators (TRNGs), and integrated circuit (IC) counterfeit detection. In this paper, we evaluate the efficacy of flash memory-based security primitives and categorize them based on the process variations they exploit, as well as other features. We also compare and evaluate flash-based security primitives in order to identify drawbacks and essential design considerations. Finally, we describe new directions, challenges of research, and possible security vulnerabilities for flash-based security primitives that we believe would benefit from further exploration.

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“…Here we see the challenge and response pairs that we discussed being sent between the health sensor and the gateway. Man-in-the-middle and replay attacks can occur in our any networked environment [40,41]. However, with regard to MITM, any modification of the packets being sent would result in a complete breakdown of the authentication process, ultimately making it obvious that the connection was tampered with, and would result in the gateway refusing the connection [42].…”

Section: Telehealth Applicationmentioning

confidence: 99%

A Novel IoT Sensor Authentication Using HaLo Extraction Method and Memory Chip Variability

Gordon¹,

Lyp²,

Kimbro³

et al. 2021

Preprint

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In this paper, we propose flash-based hardware security primitives as a viable solution to meet the security challenges of the IoT and specifically telehealth markets. We have created a novel solution, called the High and Low (HaLo) method, that generates physical unclonable function (PUF) signatures based on process variations within flash memory in order to uniquely identify and authenticate remote sensors. The HaLo method consumes 60% less power than conventional authentication schemes, has an average latency of only 39ms for signature generation, and can be readily implemented through firmware on ONFI 2.2 compliant off-the-shelf NAND flash memory chips. The HaLo method generates 512 bit signatures with an average error rate of 5.9 * 10 −4 , while also adapting for flash chip aging. Due to its low latency, low error rate, and high power efficiency, the HaLo method could help progress the field of remote patient monitoring by accurately and efficiently authenticating remote health sensors. Keywords Physical Unclonable Function (PUF) • Internet of Things (IoT) • Flash MemoryTelecommunication in healthcare, or telehealth, provides a means by which patients can interact with medical professionals and health-related services virtually. In light of the COVID-19 worldwide pandemic, the need for secure and readily available remote patient monitoring has never been more important. Rural and low-income communities,

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DVFT: A Lightweight Solution for Power-Supply Noise-Based TRNG Using Dynamic Voltage Feedback Tuning System

Cited by 21 publications

References 22 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

Flash-Based Security Primitives: Evolution, Challenges and Future Directions

A Novel IoT Sensor Authentication Using HaLo Extraction Method and Memory Chip Variability

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