Results 1 to 10 of about 2,945 (188)

A Design Strategy to Improve Machine Learning Resiliency for Ring Oscillator Physically Unclonable Function

open access: yesIEEE Access, 2023
Physically unclonable functions (PUFs) are hardware security primitives that utilize non-reproducible manufacturing variations to provide device-specific challenge-response pairs (CRPs).
Yuqiu Jiang   +2 more
doaj   +1 more source

Secure Communications using Nonlinear Silicon Photonic Keys

open access: yes, 2018
We present a secure communication system constructed using pairs of nonlinear photonic physical unclonable functions (PUFs) that harness physical chaos in integrated silicon micro-cavities.
Bosworth, Bryan T.   +5 more
core   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

open access: yesAdvanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj   +8 more
wiley   +1 more source

Low Power Optoelectronic Neuromorphic Memristor for In‐Sensor Computing and Multilevel Hardware Security Communications

open access: yesAdvanced Science, EarlyView.
ABSTRACT Conventional software‐based encryption faces mounting limitations in power efficiency and security, inspiring the development of emerging neuromorphic computing hardware encryption. This study presents a hardware‐level multi‐dimensional encryption paradigm utilizing optoelectronic neuromorphic devices with low energy consumption of 3.3 fJ ...
Bo Sun   +3 more
wiley   +1 more source

Synaptic κ‐Ga2O3 Photodetectors for Privacy‐Enhancing Neuromorphic Computing

open access: yesAdvanced Science, EarlyView.
We report on a single‐element neuromorphic sensor based on the persistent photoconductivity (PPC) of κ‐phase Ga2O3 capable of sensing ultraviolet light and harnessing intrinsic data privacy. The approach establishes a materials‐enabled pathway toward compact, intelligent, and privacy‐enhancing optoelectronic hardware for next‐generation edge systems ...
Yanqing Jia   +13 more
wiley   +1 more source

Symmetric physically unclonable functions of the arbiter type

open access: yesInformatika
Objectives. The problem of constructing a new class of physically unclonable functions of the arbiter type (APUF) that combines the advantages of both classical and balanced APUF is solved.
V. N. Yarmolik, A. A. Ivaniuk
doaj   +1 more source

Rejection Sampling Schemes for Extracting Uniform Distribution from Biased PUFs

open access: yesTransactions on Cryptographic Hardware and Embedded Systems, 2020
This paper presents an efficient fuzzy extractor (FE) construction for secure cryptographic key generation from physically unclonable functions (PUFs).
Rei Ueno, Kohei Kazumori, Naofumi Homma
doaj   +1 more source

Organic Thin‐Film Transistors for Neuromorphic Computing

open access: yesAdvanced Electronic Materials, EarlyView.
Organic thin‐film transistors (OTFTs) are reviewed for neuromorphic computing applications, highlighting their power‐efficient, and biological time‐scale operation. This article surveys OFET and OECT devices, compares them with memristors and CMOS, analyzes how fabrication parameters shape spike‐based metrics, proposes standardized characterization ...
Luke McCarthy   +2 more
wiley   +1 more source

Physically Unclonable Function Utilizing Stochastic Indirect Exchange Interaction

open access: yesSmall Structures
In hardware‐based security, physically unclonable function (PUF) has emerged as a promising solution for generating secret keys. While complementary metal–oxide–semiconductor‐based PUFs have been extensively studied, their reliability and scalability ...
Jeong Kyu Lee   +3 more
doaj   +1 more source

RRAM Variability Harvesting for CIM‐Integrated TRNG

open access: yesAdvanced Electronic Materials, EarlyView.
This work demonstrates a compute‐in‐memory‐compatible true random number generator that harvests intrinsic cycle‐to‐cycle variability from a 1T1R RRAM array. Parallel entropy extraction enables high‐throughput bit generation without dedicated circuits. This approach achieves NIST‐compliant randomness and low per‐bit energy, offering a scalable hardware
Ankit Bende   +4 more
wiley   +1 more source

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