Work

Learning-based identification of malicious circuits for trustworthy IoT systems

Year: 2021

Type: conference-paper

Source: International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT)

DOI: 10.1109/inscit49950.2021.9557259

Authors: Frederico Coelho, Evandro Alves, Janier Arias-Garcia, Frank Sill Torres

Institutions: Universidade Federal de Minas Gerais, Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

Language: English

Topic: Physical Unclonable Functions (PUFs) and Hardware Security

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Deutsche Forschungsgemeinschaft

OpenAlex ID: W3203203948

FWCI:

Cites: 24

Cited by:

Related to: 10