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

