Optical Boolean chaos

Sang, Luxiao; Zhang, Jianguo; Zhao, Tong; Virte, Martin; Gong, Lishuang; Wang, Yuncai

doi:10.1364/oe.404879

Cited by 5 publications

(2 citation statements)

References 22 publications

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“…In [21] we propose an optical ABN device based on optical logic gates, consisting of an optical logic gate XNOR with two feedback links. By adjusting the delay difference between the two channels the system outputs an optical logic chaotic signal.…”

Section: Effective Technologies For Implementing Hardware Random Numb...mentioning

confidence: 99%

“…Such logical chaotic signals with high bandwidths solve the problem of Boolean chaos, which can significantly expand the application area of ABM. The paper [21] describes in detail the physical mechanism of optical Boolean chaos and discusses the effects of feedback delay time, carrier optical amplifier recovery time, and power detection. Embedded integration of the optical Boolean chaotic system can be realized through a combination of optical logic gate integration technology and optical delay line integration technology.…”

Section: Effective Technologies For Implementing Hardware Random Numb...mentioning

confidence: 99%

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Crypto-Resistant Methods and Random Number Generators in Internet of Things (Iot) Devices

Klimushyn

Solianyk

Mozhaiev

et al. 2022

ITSSI

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Subject of research: crypto-resistant methods and tools of generating random sequences and hardware support of cryptographic transformations in IoT devices. The aim of the article is to study crypto-resistant methods and tools for generating and testing random sequences suitable for use in IoT devices with limited resources; determination of circuit implementations of random sequences hardware generators; formation of conclusions on the use of random number generators (RNG) in cryptographic protection systems of the IoT network. The article solves the following tasks: analysis of methods and hardware for generating random sequences to protect IoT solutions with limited resources; identification of safe and effective technologies for the implementation of RNG; classification of RNG attacks; analysis of the shortcomings of the practical use of statistical test packages to assess the quality of random sequences of RNG; evaluation of the speed of cryptoaccelerators of hardware support for cryptographic transformations; providing practical guidance on RNG for use in resource-constrained IoT devices. Research methods: method of structural and functional analysis of RNG and IoT devices, cryptographic methods of information protection, methods of random sequence generation, method of stability analysis of systems, methods of construction of autonomous Boolean networks and Boolean chaos analysis, methods of quality assessment of random sequences. Results of work: the analysis of technologies and circuit decisions of hardware RNG on characteristics: quality of numbers’ randomness and unpredictability of sequences, speed, power consumption, miniaturization, possibility of integral execution; providing practical recommendations for the use of RNG in cryptographic protection systems of the IoT network. The novelty of the study is the analysis of methods and hardware to support technologies for generating random sequences in the system of cryptographic protection of IoT solutions; classification of attacks on RNG and features of protection against them; identification of effective RNG technologies and circuit solutions for use in low-power IoT devices with limited computing resources; providing practical recommendations for the use of RNG in cryptographic protection systems of the IoT network. The analysis of technologies and circuit solutions allowed to draw the following conclusions: protection of IoT solutions includes: security of IoT network nodes and their connection to the cloud using secure protocols, ensuring confidentiality, authenticity and integrity of IoT data by cryptographic methods, attack analysis and network cryptographic stability; the initial basis for the protection of IoT solutions is the true randomness of the formed RNG sequences and used in algorithms for cryptographic transformation of information to protect it; feature of IoT devices is their heterogeneity and geographical distribution, limited computing resources and power supply, small size; The most effective (reduce power consumption and increase the generation rate) for use in IoT devices are RNG exclusively on a digital basis, which implements a three-stage process: the initial digital circuit, normalizer and random number flow generator; Autonomous Boolean networks (ABN) allow to create RNG with unique characteristics: the received numbers are really random, high speed – the number can be received in one measure, the minimum power consumption, miniature, high (up to 3 GHz) throughput of Boolean chaos; a promising area of ABN development is the use of optical logic valves for the construction of optical ABN with a bandwidth of up to 14 GHz; the classification of known classes of RNG attacks includes: direct cryptanalytic attacks, attacks based on input data, attacks based on the disclosure of the internal state of RNG, correlation attacks and special attacks; statistical test packages to evaluate RNG sequences have some limitations or shortcomings and do not replace cryptanalysis; Comparison of cryptoaccelerators with cryptographic transformation software shows their significant advantages: for AES block encryption algorithm, speeds increase by 10-20 times in 8/16-bit cryptoaccelerators and 150 times in 32-bit, growth hashing of SHA-256 in 32-bit cryptoaccelerators more than 100 times, and for the NMAS algorithm - up to 500 times.

show abstract

Section: Effective Technologies For Implementing Hardware Random Numb...mentioning

confidence: 99%

Section: Effective Technologies For Implementing Hardware Random Numb...mentioning

confidence: 99%

Crypto-Resistant Methods and Random Number Generators in Internet of Things (Iot) Devices

Klimushyn

Solianyk

Mozhaiev

et al. 2022

ITSSI

View full text Add to dashboard Cite

show abstract

Analysis and improvement of Boolean chaos robustness to noise

Liu

Wang

Zhang

et al. 2022

Communications in Nonlinear Science and Numerical Simulation

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Real-time all-optical random numbers based on optical Boolean chaos

et al. 2021

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In this work, a method of generating all-optical random numbers based on optical Boolean chaotic entropy source is proposed. This all-optical random number generation system consists of a Boolean chaotic entropy source and an optical D flip-flop. The Boolean chaotic entropy source is composed of an optical XOR gate and two self-delayed feedback; meanwhile, the optical D flip-flop is composed of two optical AND gates and one SR latch. The optical Boolean chaotic signal possesses the dynamic characteristics of complexity and binarization, so random numbers would be generated only by extracted from chaotic signals with the optical D flip-flop. This all-optical random number generation system achieves the result of 5 Gb/s random numbers that is testable. The whole process of random number generation could be completed in the optical domain without photoelectric conversion, more importantly, the device could be integrated.

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Optical Boolean chaos

Cited by 5 publications

References 22 publications

Crypto-Resistant Methods and Random Number Generators in Internet of Things (Iot) Devices

Crypto-Resistant Methods and Random Number Generators in Internet of Things (Iot) Devices

Analysis and improvement of Boolean chaos robustness to noise

Real-time all-optical random numbers based on optical Boolean chaos

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