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FIGHT-Metric: Functional Identification of Gate-Level Hardware Trustworthiness

Published: 01 June 2014 Publication History

Abstract

To address the concern that a complete detection scheme for effective hardware Trojan identification is lacking, we have designed an RTL security metric in order to evaluate the quality of IP cores (with the same or similar functionality) and counter Trojan attacks at the pre-fabrication stages of the IP design flow. The proposed security metric is constructed on top of two criteria, from which a quantitative security value can be assigned to the target circuit: 1) Distribution of controllability; 2) Existence of rare events. The proposed metric, called FIGHT, is an automated tool whereby malicious modifications to ICs and/or the vulnerability of the IP core can be identified, by monitoring both internal node controllability and the corresponding control value distribution plotted as a histogram. Experimentation on an RS232 module was performed to demonstrate our dual security criteria and proved security degradation to the IP module upon hardware Trojan insertion.

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  • (2024)FAST-GO: Fast, Accurate, and Scalable Hardware Trojan Detection using Graph Convolutional Networks2024 25th International Symposium on Quality Electronic Design (ISQED)10.1109/ISQED60706.2024.10528759(1-8)Online publication date: 3-Apr-2024
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  1. FIGHT-Metric: Functional Identification of Gate-Level Hardware Trustworthiness

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    cover image ACM Other conferences
    DAC '14: Proceedings of the 51st Annual Design Automation Conference
    June 2014
    1249 pages
    ISBN:9781450327305
    DOI:10.1145/2593069
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 01 June 2014

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    Author Tags

    1. Security Metric
    2. Trustworthy Hardware

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    • (2024)FAST-GO: Fast, Accurate, and Scalable Hardware Trojan Detection using Graph Convolutional Networks2024 25th International Symposium on Quality Electronic Design (ISQED)10.1109/ISQED60706.2024.10528759(1-8)Online publication date: 3-Apr-2024
    • (2024)Deep transfer learning approach for digital circuits vulnerability analysisExpert Systems with Applications10.1016/j.eswa.2023.121757237(121757)Online publication date: Mar-2024
    • (2023)TVF: A Metric for Quantifying Vulnerability Against Hardware Trojan AttacksIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2023.327086631:7(969-979)Online publication date: Jul-2023
    • (2021)Hardware Trojan Detection Using Backside Optical ImagingIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2020.299168040:1(24-37)Online publication date: Jan-2021
    • (2020)SafeTPU: A Verifiably Secure Hardware Accelerator for Deep Neural Networks2020 IEEE 38th VLSI Test Symposium (VTS)10.1109/VTS48691.2020.9107564(1-6)Online publication date: Apr-2020
    • (2020)Trigger Identification Using Difference-Amplified Controllability and Dynamic Transition Probability for Hardware Trojan DetectionIEEE Transactions on Information Forensics and Security10.1109/TIFS.2019.294604415(3387-3400)Online publication date: 2020
    • (2020)Survey: Hardware Trojan Detection for Netlist2020 IEEE 29th Asian Test Symposium (ATS)10.1109/ATS49688.2020.9301614(1-6)Online publication date: 23-Nov-2020
    • (2019)The Metric MattersProceedings of the 56th Annual Design Automation Conference 201910.1145/3316781.3323488(1-4)Online publication date: 2-Jun-2019
    • (2018)Hardware Trojan Detection in Third-Party Digital Intellectual Property Cores by Multilevel Feature AnalysisIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2017.274802137:7(1370-1383)Online publication date: Jul-2018
    • (2018)Securing Medical Devices Against Hardware Trojan Attacks Through Analog-, Digital-, and Physiological-Based SignaturesJournal of Hardware and Systems Security10.1007/s41635-018-0040-72:3(251-265)Online publication date: 19-Jun-2018
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