Results 41 to 50 of about 254 (128)

Controllable Electrical Properties of ZrO2/BiFeO3 Bilayer Memristor from Synaptic Mimic to TRNG Circuit Application by Modulating Compliance Currents

Advanced Electronic Materials
Apart from simulating biological synapses, memristors can also be used in the secure encryption by exploiting their inherent random resistive switching (RS) properties.
Yaoyao Jin, Ming Zhu, Yuhong Zhou, Zihao Zhang, Jinzhao Wang, Xingjuan Song, Jiahao Meng, Shanwu Ke, Tianyi Zhang, Siqi Chen, Ruiqi Li, Bei Jiang, Cong Ye   +12 more
doaj   +1 more source

TRNGs from Pre-Formed ReRAM Arrays

Cryptography, 2021
Schemes generating cryptographic keys from arrays of pre-formed Resistive Random Access (ReRAM) cells, called memristors, can also be used for the design of fast true random number generators (TRNG’s) of exceptional quality, while consuming low levels of
Bertrand Cambou, Donald Telesca, Sareh Assiri, Michael Garrett, Saloni Jain, Michael Partridge   +5 more
doaj   +1 more source

Statistical RF/Analog Integrated Circuit Design Using Combinatorial Randomness for Hardware Security Applications

Mathematics, 2020
While integrated circuit technologies keep scaling aggressively, analog, mixed-signal, and radio-frequency (RF) circuits encounter challenges by creating robust designs in advanced complementary metal–oxide–semiconductor (CMOS) processes with the ...
Ethan Chen, Vanessa Chen
doaj   +1 more source

A True Random Number Generator Based on Gait Data for the Internet of You

IEEE Access, 2020
The Internet of Things (IoT) is more and more a reality, and every day the number of connected objects increases. The growth is practically exponential -there are currently about 8 billion and expected to reach 21 billion in 2025.
Carmen Camara, Honorio Martin, Pedro Peris-Lopez, Luis Entrena   +3 more
doaj   +1 more source

ECG-RNG: A Random Number Generator Based on ECG Signals and Suitable for Securing Wireless Sensor Networks

Sensors, 2018
Wireless Sensor Networks (WSNs) are a promising technology with applications in many areas such as environment monitoring, agriculture, the military field or health-care, to name but a few.
Carmen Camara, Pedro Peris-Lopez, Honorio Martín, Mu’awya Aldalaien   +3 more
doaj   +1 more source

Design of adaptive matching true random number generator based on thermal noise

Dianzi Jishu Yingyong, 2018
After studying on the thermal noise model and the matching mechanism of sensitive amplifier, an adaptively matching True Random Number Generator(TRNG) design is proposed.
Li Zhen, Wang Pengjun, Cheng Xu, Li Gang
doaj   +1 more source

EIM-TRNG: Obfuscating Deep Neural Network Weights with Encoding-in-Memory True Random Number Generator via RowHammer

CoRR
True Random Number Generators (TRNGs) play a fundamental role in hardware security, cryptographic systems, and data protection. In the context of Deep NeuralNetworks (DNNs), safeguarding model parameters, particularly weights, is critical to ensure the integrity, privacy, and intel-lectual property of AI systems.
Ranyang Zhou, Abeer Matar A. Almalky, Gamana Aragonda, Sabbir Ahmed, Filip Roth Trønnes-Christensen, Adnan Siraj Rakin, Shaahin Angizi   +6 more
openaire   +2 more sources

On the Characterization of Phase Noise for the Robust and Resilient PLL-TRNG Design

Transactions on Cryptographic Hardware and Embedded Systems
A true random number generator (TRNG) is a critical component in ensuring the security of cryptographic systems. Among TRNG implementations, the phase-locked loop-based TRNG (PLL-TRNG) is a widely adopted solution for FPGA platforms due to the ...
Ziheng Ma, Bohan Yang, Wenping Zhu, Hanning Wang, Yi Ouyang, Min Zhu, Leibo Liu   +6 more
doaj   +1 more source

SPUF-KG and SSL-TRNG Enhanced lightweight IoT authentication and key exchange protocol

Journal of King Saud University: Computer and Information Sciences
With the rapid advancement of Internet of Things (IoT) applications, the frequency of data interactions has increased significantly, exposing security vulnerabilities in key storage due to the constrained security capabilities of IoT devices.
Qian Zhang, Yanfei Liu, Nana Wu, Cheng Chen, Ziang Du   +4 more
doaj   +1 more source