Mitigation of tampering attacks for MR-based thermal sensing in optical NoCs
As an emerging role in on-chip communication, the optical networks-on-chip (ONoCs) can provide ultra-high bandwidth, low latency and low power dissipation for the data transfer. However, the thermo-optic effects of the photonic devices have a great impact on the operating performance and reliability...
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sg-ntu-dr.10356-1442322020-10-21T07:22:11Z Mitigation of tampering attacks for MR-based thermal sensing in optical NoCs Zhou, Jun Li, Mengquan Guo, Pengxing Liu, Weichen School of Computer Science and Engineering 2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) Engineering::Computer science and engineering::Hardware::Input/output and data communications Handheld Computers Integrated Circuit Reliability As an emerging role in on-chip communication, the optical networks-on-chip (ONoCs) can provide ultra-high bandwidth, low latency and low power dissipation for the data transfer. However, the thermo-optic effects of the photonic devices have a great impact on the operating performance and reliability of ONoCs, where the thermal-aware control is used to alleviate it. Furthermore, the temperature-sensitive ONoCs are prone to be attacked by the hardware Trojans (HTs) covertly embedded in the integrated circuits (ICs) from the malicious third-party components, leading to performance degradation, denial of service (DoS), or even permanent damages. In this paper, we focus on the tampering attacks on optical sampling during the thermal sensing process in ONoCs. Corresponding approaches are proposed to mitigate the negative impacts from HT attacks. Evaluation results indicate that our approach can significantly enhance the hardware security of thermal sensing for ONoC with trivial overheads of up to 3.06% and 2.6% in average latency and energy consumption, respectively. Ministry of Education (MOE) Accepted version 2020-10-21T07:22:11Z 2020-10-21T07:22:11Z 2020 Conference Paper Zhou, J., Li, M., Guo, P., & Liu, W. (2020). Mitigation of tampering attacks for MR-based thermal sensing in optical NoCs. 2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI). doi:10.1109/ISVLSI49217.2020.00009 https://hdl.handle.net/10356/144232 10.1109/ISVLSI49217.2020.00009 en © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/ISVLSI49217.2020.00009 application/pdf |
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Engineering::Computer science and engineering::Hardware::Input/output and data communications Handheld Computers Integrated Circuit Reliability Zhou, Jun Li, Mengquan Guo, Pengxing Liu, Weichen Mitigation of tampering attacks for MR-based thermal sensing in optical NoCs |
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As an emerging role in on-chip communication, the optical networks-on-chip (ONoCs) can provide ultra-high bandwidth, low latency and low power dissipation for the data transfer. However, the thermo-optic effects of the photonic devices have a great impact on the operating performance and reliability of ONoCs, where the thermal-aware control is used to alleviate it. Furthermore, the temperature-sensitive ONoCs are prone to be attacked by the hardware Trojans (HTs) covertly embedded in the integrated circuits (ICs) from the malicious third-party components, leading to performance degradation, denial of service (DoS), or even permanent damages. In this paper, we focus on the tampering attacks on optical sampling during the thermal sensing process in ONoCs. Corresponding approaches are proposed to mitigate the negative impacts from HT attacks. Evaluation results indicate that our approach can significantly enhance the hardware security of thermal sensing for ONoC with trivial overheads of up to 3.06% and 2.6% in average latency and energy consumption, respectively. |
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School of Computer Science and Engineering |
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School of Computer Science and Engineering Zhou, Jun Li, Mengquan Guo, Pengxing Liu, Weichen |
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Conference or Workshop Item |
author |
Zhou, Jun Li, Mengquan Guo, Pengxing Liu, Weichen |
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Zhou, Jun |
title |
Mitigation of tampering attacks for MR-based thermal sensing in optical NoCs |
title_short |
Mitigation of tampering attacks for MR-based thermal sensing in optical NoCs |
title_full |
Mitigation of tampering attacks for MR-based thermal sensing in optical NoCs |
title_fullStr |
Mitigation of tampering attacks for MR-based thermal sensing in optical NoCs |
title_full_unstemmed |
Mitigation of tampering attacks for MR-based thermal sensing in optical NoCs |
title_sort |
mitigation of tampering attacks for mr-based thermal sensing in optical nocs |
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2020 |
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https://hdl.handle.net/10356/144232 |
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1683492954848624640 |