SoCurity: A Design Approach for Enhancing SoC Security

Naorin Hossain; Alper Buyuktosunoglu; John David Wellman; Pradip Bose; Margaret Martonosi

doi:10.1109/LCA.2023.3301448

SoCurity: A Design Approach for Enhancing SoC Security

Naorin Hossain, Alper Buyuktosunoglu, John David Wellman, Pradip Bose, Margaret Martonosi

Research output: Contribution to journal › Article › peer-review

Abstract

We propose SoCurity, the first NoC counter-based hardware monitoring approach for enhancing heterogeneous SoC security. With SoCurity, we develop a fast, lightweight anomalous activity detection system leveraging semi-supervised machine learning models that require no prior attack knowledge for detecting anomalies. We demonstrate our techniques with a case study on a real SoC for a connected autonomous vehicle system and find up to 96% detection accuracy.

Original language	English (US)
Pages (from-to)	105-108
Number of pages	4
Journal	IEEE Computer Architecture Letters
Volume	22
Issue number	2
DOIs	https://doi.org/10.1109/LCA.2023.3301448
State	Published - Jul 1 2023

All Science Journal Classification (ASJC) codes

Hardware and Architecture

Keywords

Heterogeneous SoC
anomaly detection
denial-of-service
network-on-chip
semi-supervised model

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10.1109/LCA.2023.3301448

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abstract = "We propose SoCurity, the first NoC counter-based hardware monitoring approach for enhancing heterogeneous SoC security. With SoCurity, we develop a fast, lightweight anomalous activity detection system leveraging semi-supervised machine learning models that require no prior attack knowledge for detecting anomalies. We demonstrate our techniques with a case study on a real SoC for a connected autonomous vehicle system and find up to 96\% detection accuracy.",

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author = "Naorin Hossain and Alper Buyuktosunoglu and Wellman, \{John David\} and Pradip Bose and Margaret Martonosi",

note = "Publisher Copyright: {\textcopyright} 2002-2011 IEEE.",

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AU - Wellman, John David

AU - Bose, Pradip

AU - Martonosi, Margaret

PY - 2023/7/1

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AB - We propose SoCurity, the first NoC counter-based hardware monitoring approach for enhancing heterogeneous SoC security. With SoCurity, we develop a fast, lightweight anomalous activity detection system leveraging semi-supervised machine learning models that require no prior attack knowledge for detecting anomalies. We demonstrate our techniques with a case study on a real SoC for a connected autonomous vehicle system and find up to 96% detection accuracy.

KW - Heterogeneous SoC

KW - anomaly detection

KW - denial-of-service

KW - network-on-chip

KW - semi-supervised model

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SoCurity: A Design Approach for Enhancing SoC Security

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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