Halide perovskite memristors as flexible and reconfigurable physical unclonable functions
Abstract Physical Unclonable Functions (PUFs) address the inherent limitations of
conventional hardware security solutions in edge-computing devices. Despite impressive …
conventional hardware security solutions in edge-computing devices. Despite impressive …
Introducing recurrence in strong PUFs for enhanced machine learning attack resistance
Hardware security circuits based on Physically Unclonable Functions (PUF) are finding
widespread use due to increasing adoption of IoT devices. However, existing strong PUFs …
widespread use due to increasing adoption of IoT devices. However, existing strong PUFs …
SRAM-PUF Based Lightweight Mutual Authentication Scheme for IoT
The Internet of Things (IoT) is essentially a network infrastructure which connects smart
devices together. However, IoT endpoint devices are widely deployed in a public and …
devices together. However, IoT endpoint devices are widely deployed in a public and …
Addressing the security concerns of IoT: physical unclonable functions with improved reconfigurability, reliability and machine learning attack resistance
NK Shah - 2022 - dr.ntu.edu.sg
Internet of Things (IoT) is becoming a massive phenomenon in the industry with
expectations of trillions of devices being connected by 2025. With this exponential growth …
expectations of trillions of devices being connected by 2025. With this exponential growth …
Reducing Temperature Induced Unreliability in Sub-Threshold Strong PUFs through Circuit Modeling
Due to increased adoption of IoT devices, Physically Unclonable Function (PUF) circuits are
essential as a lightweight security primitive. However existing PUFs suffer from imperfect …
essential as a lightweight security primitive. However existing PUFs suffer from imperfect …
Secure authentication using recurrent neural networks
JB Aimone, J Hamlet, TT Quach - US Patent 11,880,448, 2024 - Google Patents
A computer-implemented method of user authentication is provided. The method comprises
combining, by a computer system, a user recurrent neural network with a system recurrent …
combining, by a computer system, a user recurrent neural network with a system recurrent …