Results 1 to 10 of about 112 (91)
Deep PUF: A Highly Reliable DRAM PUF-Based Authentication for IoT Networks Using Deep Convolutional Neural Networks [PDF]
Sensors, 2021 Traditional authentication techniques, such as cryptographic solutions, are vulnerable to various attacks occurring on session keys and data. Physical unclonable functions (PUFs) such as dynamic random access memory (DRAM)-based PUFs are introduced as ...
Diego Martin +2 more
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Intrinsic Physical Unclonable Function (PUF) Sensors in Commodity Devices [PDF]
Sensors, 2019 The environment-dependent feature of physical unclonable functions (PUFs) is capable of sensing environment changes. This paper presents an analysis and categorization of a variety of PUF sensors.
Yuan Cao, Shuai Chen, Bing Li
exaly +4 more sources
In-Depth Review and Comparative Analysis of DRAM-Based PUFs
IEEE AccessDynamic Random-Access Memory Physical Unclonable Functions (DRAM PUFs) are gaining interest in hardware security, particularly for resource-constrained IoT devices such as smart sensors in the era of rapid digitalization. Since DRAM is present in most of
Chia Yee Ooi
exaly +4 more sources
Fast DRAM PUFs on Commodity Devices [PDF]
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2020 Intrinsic physical unclonable functions (PUFs), which derive hardware identifiers from components already present in a system without modification, are an appealing way to add a layer of hardware rooted security into a system. This is evidenced by the fact that the majority of PUF designs in commercial use today are intrinsic.
Jack Miskelly, Maire O'Neill
exaly +3 more sources
IEEE Transactions on Information Forensics and Security, 2023 13 pages main text, 7 pages supplementary material (total 20 pages), 8 figures, submitted to IEEE Transactions on Information Forensics and ...
Prosanta Gope, Chenghua Lin
exaly +3 more sources
Nonvolatile Memristive Materials and Physical Modeling for In-Memory and In-Sensor Computing. [PDF]
Small SciThis review explores the utilization of memristive materials (MMs) as digital building blocks for in‐memory and in‐sensor computing. Switching mechanisms, material layer structures, MM operations, material system characteristics, theoretical studies, applications, and challenges and prospects for in‐sensor and in‐memory computations, for example, brain‐
Go SX, Lim KG, Lee TH, Loke DK.
europepmc +2 more sources
An Overview of DRAM-Based Security Primitives
Cryptography, 2018 Recent developments have increased the demand for adequate security solutions, based on primitives that cannot be easily manipulated or altered, such as hardware-based primitives.
Fatemeh Tehranipoor +2 more
exaly +3 more sources
PreLatPUF: Exploiting DRAM Latency Variations for Generating Robust Device Signatures
IEEE Access, 2019 Physically unclonable functions (PUFs) are potential security blocks to generate unique and more secure keys in low-cost cryptographic applications. Dynamic random-access memory (DRAM) has been proposed as one of the promising candidates for generating ...
Bashir Mohammad Sabquat Bahar Talukder +2 more
exaly +3 more sources
An Innovative Architecture of DRAM PUF
Journal of Integrated Circuits and Systems, 2023 Cryptographic solutions based on traditional authentication methods are susceptible to several attacks on secret keys. Dynamic random access memory (DRAM)-based physical unclonable functions (PUF) are described as promising security building blocks to enable cryptography and authentication services.
Abhishek Kumar +2 more
openaire +1 more source
Review of Physically Unclonable Functions (PUFs): Structures, Models, and Algorithms
Frontiers in Sensors, 2022 Physically unclonable functions (PUFs) are now an essential component for strengthening the security of Internet of Things (IoT) edge devices. These devices are an important component in many infrastructure systems such as telehealth, commerce, industry,
Fayez Gebali, Mohammad Mamun
doaj +1 more source