Neural Network Physically Unclonable Function: A Trainable Physically Unclonable Function System with Unassailability against Deep Learning Attacks Using Memristor Array
Year: 2021
Type: article
Abstract: Security Primitives In article number 2100111, Shinhyun Choi and co-workers propose a trainable security primitive integrated with deep neural network and memristor arrays. The entire system can achieve optimal performance for security metrics by training. In the cover image, the trained encryption system only allows access to confidential information through an authenticated code (denoted by a blue key) and secures the information from adversaries (denoted by red keys).
Source: Advanced Intelligent Systems
Institution: Korea Advanced Institute of Science and Technology
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,750
OpenAlex ID: W4239877971