Results 1 to 10 of about 254 (128)

True Random Number Generator (TRNG) Utilizing FM Radio Signals for Mobile and Embedded Devices in Multi-Access Edge Computing [PDF]

Sensors, 2019
As transmissions of data between mobile and embedded devices in multi-access edge computing (MEC) increase, data must be protected, ensuring confidentiality and integrity.
Kyungroul Lee, Manhee Lee
doaj   +7 more sources

TRNG (True Random Number Generator) Method Using Visible Spectrum for Secure Communication on 5G Network

IEEE Access, 2018
The key point of cryptography is cryptographic algorithms and keys. The random number generator is used to generate seeds and keys randomly in many cryptographic systems.
Kyungroul Lee, Sun-Young Lee, Changho Seo, Kangbin Yim   +3 more
doaj   +4 more sources

A RRAM-Based True Random Number Generator with 2T1R Architecture for Hardware Security Applications [PDF]

Micromachines, 2023
Resistance random access memory (RRAM) based true random number generator (TRNG) has great potential to be applied to hardware security owing to its intrinsic switching variability. Especially the high resistance state (HRS) variation is usually taken as
Bo Peng, Qiqiao Wu, Zhongqiang Wang, Jianguo Yang   +3 more
doaj   +2 more sources

RHS-TRNG: A Resilient High-Speed True Random Number Generator Based on STT-MTJ Device

IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023
Published in: IEEE Transactions on Very Large Scale Integration (VLSI) Systems ( Volume: 31, Issue: 10, October 2023)
Chunyuan Zhang, Sheng Ma, Lizhou Wu
exaly   +3 more sources

ES-TRNG: A High-throughput, Low-area True Random Number Generator based on Edge Sampling

Transactions on Cryptographic Hardware and Embedded Systems, 2018
In this paper we present a novel true random number generator based on high-precision edge sampling. We use two novel techniques to increase the throughput and reduce the area of the proposed randomness source: variable-precision phase encoding and ...
Bohan Yang, Vladimir Rožic, Miloš Grujic, Nele Mentens, Ingrid Verbauwhede   +4 more
doaj   +5 more sources

A True Random Number Generator Design Based on the Triboelectric Nanogenerator with Multiple Entropy Sources [PDF]

Micromachines
The triboelectric nanogenerator (TENG) has the potential to serve as a high-entropy energy harvester, enabling the self-powered operation of Internet of Things (IoT) devices.
Shuaicheng Guo, Yuejun Zhang, Ziyu Zhou, Lixun Wang, Zhuo Ruan, Yu Pan   +5 more
doaj   +2 more sources

Min-entropy estimation for semiconductor superlattice true random number generators [PDF]

Scientific Reports, 2022
Semiconductor superlattice true random number generator (SSL-TRNG) has an outstanding practical property on high-throughput and high-security cryptographic applications.
Jing Liu, Jianguo Xie, Lu Chao, Han Wu, Peng Ding, Xiaoming Chen, Huamin Feng   +6 more
doaj   +2 more sources

Probabilistic Circuit Implementation Based on P-Bits Using the Intrinsic Random Property of RRAM and P-Bit Multiplexing Strategy [PDF]

Micromachines, 2022
Probabilistic computing is an emerging computational paradigm that uses probabilistic circuits to efficiently solve optimization problems such as invertible logic, where traditional digital computations are difficult to solve.
Yixuan Liu, Qiao Hu, Qiqiao Wu, Xuanzhi Liu, Yulin Zhao, Donglin Zhang, Zhongze Han, Jinhui Cheng, Qingting Ding, Yongkang Han, Bo Peng, Haijun Jiang, Xiaoyong Xue, Hangbing Lv, Jianguo Yang   +14 more
doaj   +2 more sources

Cryptographic triboelectric random number generator with gentle breezes of an entropy source [PDF]

Scientific Reports
A wind-driven triboelectric nanogenerator (W-TENG) is a promising energy harvesting device due to its clean, ubiquitous and unexhausted properties. In addition, a W-TENG induces unpredictable chaotic outputs from wind flow that can serve as an entropy ...
Moon-Seok Kim, Il-Woong Tcho, Yang-Kyu Choi   +2 more
doaj   +2 more sources

Demonstration of Three True Random Number Generator Circuits Using Memristor Created Entropy and Commercial Off-the-Shelf Components

Entropy, 2021
In this work, we build and test three memristor-based true random number generator (TRNG) circuits: two previously presented in the literature and one which is our own design.
Scott Stoller, Kristy A. Campbell
doaj   +1 more source