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Experimental analysis of a ring oscillator network for hardware trojan detection in a 90nm ASIC

Authors:

Andrew Ferraiuolo,

Mohammad TehranipoorAuthors Info & Claims

ICCAD '12: Proceedings of the International Conference on Computer-Aided Design

Pages 37 - 42

https://doi.org/10.1145/2429384.2429392

Published: 05 November 2012 Publication History

Abstract

The modern integrated circuit (IC) manufacturing process has exposed chip designers to hardware Trojans which threaten circuits bound for critical applications. This paper details the implementation and analysis of a novel ring oscillator network technique for Trojan detection in an application specific integrated circuit (ASIC). The ring oscillator network serves as a power supply monitor by detecting fluctuations in characteristic frequencies due to malicious modifications (i.e. hardware Trojans) in the circuit under authentication. The ring oscillator network was implemented and fabricated in 40 IBM 90nm ASICs with controlled hardware Trojans. This work analyzes the impact of Trojans with varied partial activity, area, and location on the proposed ring oscillator structure and demonstrates that stealthy Trojans can be efficiently detected with this technique even while obfuscated by process variations, background noise, and environment noise.

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X. Zhang and M. Tehranipoor, "RON: An On-chip Ring Oscillator Network for Hardware Trojan Detection," in Proc. Design, Automation, and Test in Europe (DATE), pp. 1--6, 2011.

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Cited By

Udugama BJayasinghe DParameswaran S(2024)Sensors for Remote Power Attacks: New Developments and Challenges2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC)10.1109/ASP-DAC58780.2024.10473890(333-340)Online publication date: 22-Jan-2024
https://doi.org/10.1109/ASP-DAC58780.2024.10473890
Hassan RMeng XBasu KDinakarrao S(2023)Circuit Topology-Aware Vaccination-Based Hardware Trojan DetectionIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2023.323444042:9(2852-2862)Online publication date: Sep-2023
https://doi.org/10.1109/TCAD.2023.3234440
Ghimire AAmsaad FHoque THopkinson KRahman M(2023)Unsupervised IC Security with Machine Learning for Trojan Detection2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS)10.1109/MWSCAS57524.2023.10406045(20-24)Online publication date: 6-Aug-2023
https://doi.org/10.1109/MWSCAS57524.2023.10406045
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Index Terms

Experimental analysis of a ring oscillator network for hardware trojan detection in a 90nm ASIC
1. Hardware
  1. Robustness

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Published In

cover image ACM Conferences

ICCAD '12: Proceedings of the International Conference on Computer-Aided Design

November 2012

781 pages

ISBN:9781450315739

DOI:10.1145/2429384

General Chair:
Alan J. Hu
Univ. of British Columbia, Vancouver, BC, Canada

Copyright © 2012 ACM.

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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IEEE CEDA

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Association for Computing Machinery

New York, NY, United States

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Published: 05 November 2012

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ICCAD '12

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SIGDA

ICCAD '12: The International Conference on Computer-Aided Design

November 5 - 8, 2012

California, San Jose

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Cited By

Udugama BJayasinghe DParameswaran S(2024)Sensors for Remote Power Attacks: New Developments and Challenges2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC)10.1109/ASP-DAC58780.2024.10473890(333-340)Online publication date: 22-Jan-2024
https://doi.org/10.1109/ASP-DAC58780.2024.10473890
Hassan RMeng XBasu KDinakarrao S(2023)Circuit Topology-Aware Vaccination-Based Hardware Trojan DetectionIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2023.323444042:9(2852-2862)Online publication date: Sep-2023
https://doi.org/10.1109/TCAD.2023.3234440
Ghimire AAmsaad FHoque THopkinson KRahman M(2023)Unsupervised IC Security with Machine Learning for Trojan Detection2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS)10.1109/MWSCAS57524.2023.10406045(20-24)Online publication date: 6-Aug-2023
https://doi.org/10.1109/MWSCAS57524.2023.10406045
Cataloni GSawyer PHasan S(2022)A Primer on Hardware Trojans including Platform Specific Attacks and Machine Learning for DetectionSoutheastCon 202210.1109/SoutheastCon48659.2022.9763966(479-486)Online publication date: 26-Mar-2022
https://doi.org/10.1109/SoutheastCon48659.2022.9763966
Mukherjee RRajendran SChakraborty R(2022)A comprehensive survey of physical and logic testing techniques for Hardware Trojan detection and preventionJournal of Cryptographic Engineering10.1007/s13389-022-00295-w12:4(495-522)Online publication date: 16-Jul-2022
https://doi.org/10.1007/s13389-022-00295-w
Yang SChakraborty PBhunia S(2021)Side-channel Analysis for Hardware Trojan Detection using Machine Learning2021 IEEE International Test Conference India (ITC India)10.1109/ITCIndia52672.2021.9532888(1-6)Online publication date: 18-Jul-2021
https://doi.org/10.1109/ITCIndia52672.2021.9532888
Dhavlle AHassan RMittapalli MDinakarrao S(2021)Design of Hardware Trojans and its Impact on CPS Systems: A Comprehensive Survey2021 IEEE International Symposium on Circuits and Systems (ISCAS)10.1109/ISCAS51556.2021.9401254(1-5)Online publication date: May-2021
https://doi.org/10.1109/ISCAS51556.2021.9401254
Hayashi YKawamura S(2020)Survey of Hardware Trojan Threats and Detection2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE10.1109/EMCEUROPE48519.2020.9245675(1-5)Online publication date: 23-Sep-2020
https://doi.org/10.1109/EMCEUROPE48519.2020.9245675
Xiao YFeng S(2020)Detecting Hardware Trojans by Monitoring Powersupply Noise Based on Ring Oscillator Network in FPGA2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)10.1109/AEMCSE50948.2020.00095(410-413)Online publication date: Apr-2020
https://doi.org/10.1109/AEMCSE50948.2020.00095
Aslam SJennions ISamie MPerinpanayagam SFang Y(2020)Ingress of Threshold Voltage-Triggered Hardware Trojan in the Modern FPGA Fabric–Detection Methodology and MitigationIEEE Access10.1109/ACCESS.2020.29732608(31371-31397)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2973260
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