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Learning-based identification of malicious circuits for trustworthy IoT systems

Coelho, Frederico and Alves, Evandro and Arias-Garcia, Janier and Sill Torres, Frank (2021) Learning-based identification of malicious circuits for trustworthy IoT systems. In: 5th International Symposium on Instrumentation Systems, Circuits and Transducers, INSCIT 2021. 2021 5th International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT), 23-27 Aug. 2021, Sao Paolo, Brazil. doi: 10.1109/INSCIT49950.2021.9557259. ISBN 978-172819726-5.

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Abstract

Trustworthiness is an important aspect for systems for IoT application, especially when it comes to solutions in the domains of security or privacy. Integrated circuits are an essential element of IoT systems, and thus, an attractive target. Therefore, one has to assure over the complete design and fabrication cycle, that no harmful changes have been made to the circuits. This motivated several researchers to focus on the subject of reverse engineering to search for malicious circuits, also known as hardware Trojans, which have been added during design or fabrication processes. Other purposes are the identification of patent violations or the support of existing verification solutions. Having in mind the complexity of this task, this work proposes an approach towards a fully automated solution that focuses on analog circuits. Therefore, an approach for identifying analog circuit structures in netlists extracted from random layouts is presented. Its feasibility is shown at the hand of current mirror circuits with varying architecture. The results indicate that the algorithm has an average accuracy of above 80%, with a maximum detection rate of 100%.

Item URL in elib:https://elib.dlr.de/144446/
Document Type:Conference or Workshop Item (Speech)
Title:Learning-based identification of malicious circuits for trustworthy IoT systems
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Coelho, FredericoUNSPECIFIEDUNSPECIFIED
Alves, EvandroUNSPECIFIEDUNSPECIFIED
Arias-Garcia, JanierUNSPECIFIEDUNSPECIFIED
Sill Torres, FrankFrank.SillTorres (at) dlr.dehttps://orcid.org/0000-0002-4028-455X
Date:October 2021
Journal or Publication Title:5th International Symposium on Instrumentation Systems, Circuits and Transducers, INSCIT 2021
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI :10.1109/INSCIT49950.2021.9557259
ISBN:978-172819726-5
Status:Published
Keywords:Privacy Reverse engineering Internet of Things
Event Title:2021 5th International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT)
Event Location:Sao Paolo, Brazil
Event Type:international Conference
Event Dates:23-27 Aug. 2021
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:no assignment
DLR - Program:no assignment
DLR - Research theme (Project):no assignment
Location: Bremerhaven
Institutes and Institutions:Institute for the Protection of Maritime Infrastructures > Reslience of Maritime Systems
Deposited By: Sill Torres, Frank
Deposited On:11 Oct 2021 09:08
Last Modified:21 Dec 2021 10:04

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