A 82-nW Chaotic Map True Random Number Generator Based on a Sub-Ranging SAR ADC

Kim, Minseo; Ha, Unsoo; Lee, Kyuho Jason; Lee, Byoung Hun; Yoo, Hoi‐Jun

doi:10.1109/jssc.2017.2694833

Cited by 82 publications

(42 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The comparison indicates that our proposed design benefits from a low power consumption with high throughput compared to other chaos-based RNGs using different continuous chaotic systems or discrete time chaotic maps in [25], [34]. Although the design in [47] consumes less power, the data rate is limited at ''KHz''. Besides, we compare our work with previous generators using physical noises [17], [48].…”

Section: Randomness Evaluationmentioning

confidence: 96%

A Low Power Circuit Design for Chaos-Key Based Data Encryption

et al. 2020

View full text Add to dashboard Cite

Dynamic and non-linear systems have been used to generate random bits in high-security applications for decades. In this perspective, due to their stochastic characteristic, chaotic systems have been emerging as the natural choice for the generation of random bits. This paper presents the design and the implementation of a chaos-based true random number generator and a chaos-key based data encryption scheme for secure communications. The mathematical expression of the dynamic system is presented and analyzed to evaluate the possibility of chaos occurrence. Then, the chaotic system is realized at the circuit level using 130 nm CMOS technology to generate random bit sequences, which are utilized in data encryption. Chaotic signal outputs of the chaos-based random number generator circuit are sampled at a maximum frequency of 50 MHz, enabling a high throughput of random bits. The core of the chaotic circuit consumes 630µW in static mode and a maximum of 660µW in running mode. The chaos-based one-time pad encryption scheme using the chaos-key generator shows the advantages of using this random number generator in secure communications. In this context, the data secrecy is compared to the advanced encryption standard AES128. Moreover, the design is simulated in different working conditions such as voltage supply and temperature variations, where it is shown that the random bit output benefits from a high entropy per bit and passes the standard statistical test suite (NIST) for cryptographic applications. INDEX TERMS Chaos, random key, security, CMOS, true random number generator, one-time pad encryption, image encryption, and NIST.

show abstract

Section: Randomness Evaluationmentioning

confidence: 96%

A Low Power Circuit Design for Chaos-Key Based Data Encryption

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Both edge-chasing and beat-frequency TRNGs require calibration for PVT variations and offset. State-of-the-art TRNGs reported so far are designed to operate as stand-alone circuit, with the exception of [5] which works simultaneously as subranging successive approximation register (SAR) analog-todigital converter (ADC) and TRNG, and [2] which works as physical unclonable function (PUF) and TRNG.…”

Section: Introductionmentioning

confidence: 99%

33-200Mbps, 3pJ/Bit True Random Number Generator Based on CT Delta-Sigma Modulator

Chandrasekaran

Jayaraj

Ramesh

et al. 2021

2021 IEEE International Symposium on Circuits and Systems (ISCAS)

View full text Add to dashboard Cite

This work presents a true random number generator (TRNG) that uses noise and jitter in a continuous-time, deltasigma modulator (CTDSM) as entropy source. A multi-bit nonreturn-to-zero (NRZ) feedback digital-to-analog converter (DAC) ensures that input swing seen by the front-end integrators is small and dominated by CTDSM noise and jitter, thus allowing the proposed circuit to simultaneously operate as both CTDSM and TRNG which is a key differentiation of this work compared to state-of-the-art TRNGs. Voltage controlled ring oscillators are used to implement integrators in the proposed CTDSM. Fabricated in 65nm CMOS, the TRNG has an energy efficiency of 3pJ/bit at throughput of 33Mbps and 3.5pJ/bit at 200Mbps, and passes all NIST tests with a minimum pass rate> 0.96. The measured minimum entropy of the TRNG bits is > 0.9995 across multiple chips and voltage/temperature corners without any calibration.

show abstract

“…Such nonlinear systems are characterized by the existence of a positive Lyapunov exponent. In the past five decades, it has been well-established that chaos can be applied in various disciplines, such as physics ([1]- [10]), Tokamak system [11], economy [12], ecology [13], random bit generators [14], chemical reactions ([15]- [19]), robotics ( [20]- [21]), text encryption [22], image encryption [23], voice encryption [24], and secure communication systems ([26]- [28]). Recently, a new classification has been made for chaotic attractors ( [29]- [31]).…”

Section: Introductionmentioning

confidence: 99%

A New 4-D Chaotic System with Hidden Attractor and its Circuit Implementation

Sambas¹,

Mamat

Vaidyanathan

et al. 2018

IJET

View full text Add to dashboard Cite

In the chaos literature, there is currently significant interest in the discovery of new chaotic systems with hidden chaotic attractors. A new 4-D chaotic system with only two quadratic nonlinearities is investigated in this work. First, we derive a no-equilibrium chaotic system and show that the new chaotic system exhibits hidden attractor. Properties of the new chaotic system are analyzed by means of phase portraits, Lyapunov chaos exponents, and Kaplan-Yorke dimension. Then an electronic circuit realization is shown to validate the chaotic behavior of the new 4-D chaotic system. Finally, the physical circuit experimental results of the 4-D chaotic system show agreement with numerical simulations.

show abstract

A 82-nW Chaotic Map True Random Number Generator Based on a Sub-Ranging SAR ADC

Cited by 82 publications

References 31 publications

A Low Power Circuit Design for Chaos-Key Based Data Encryption

A Low Power Circuit Design for Chaos-Key Based Data Encryption

33-200Mbps, 3pJ/Bit True Random Number Generator Based on CT Delta-Sigma Modulator

A New 4-D Chaotic System with Hidden Attractor and its Circuit Implementation

Contact Info

Product

Resources

About