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primary topic: Machine-Learning-Based Multiple Abstraction-Level Detection of Hardware Trojan Inserted at Register-Transfer Level

Machine-Learning-Based Multiple Abstraction-Level Detection of Hardware Trojan Inserted at Register-Transfer Level
type: AcademicArticle
type: Article
abstract: Hardware Trojan refers to a malicious modification of an integrated circuit (IC). To eliminate the complications arising from designing an IC which includes a Trojan, it is suggested to apply Trojan detection as early as at register-transfer level (RTL). In this paper, we propose a hardware Trojan detection framework which consists of both RTL and gate-level classification using machine learning approaches to detect hardware Trojan inserted at RTL. In the experiment, all Trojan benchmarks were successfully identified without false positive detection on non-Trojan benchmark. © 2019 IEEE.
date: 2019
volume: 2019-D
is part of: Proceedings of the Asian Test Symposium
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ConferenceItemEPrint
is part of: repository

IEEE Computer Society
type: Organization

Proceedings of the Asian Test Symposium
type: Collection
issn: 10817735

S. Baskara Dass
type: Person
given name: S.
family name: Baskara Dass

C.H. Kok
type: Person
given name: C.H.
family name: Kok

M. Moghbel
type: Person
given name: M.
family name: Moghbel

M. Inoue
type: Person
given name: M.
family name: Inoue

C.Y. Ooi
type: Person
given name: C.Y.
family name: Ooi

F.A. Hussin
type: Person
given name: F.A.
family name: Hussin

N. Ismail
type: Person
given name: N.
family name: Ismail

H.S. Choo
type: Person
given name: H.S.
family name: Choo

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primary topic: Machine-Learning-Based Multiple Abstraction-Level Detection of Hardware Trojan Inserted at Register-Transfer Level