TDM: Time and Distance Metric for Quantifying Information Leakage Vulnerabilities in SoCs

Protecting assets against information leakage is crucial to ensure System-on-Chip (SoC) security. This paper introduces a Time and Distance-based security metric (TDM) to assess information leakage risks across hardware Intellectual Properties (IPs) in SoC architectures. TDM quantifies both asset exposure time and spatial proximity to external threats, identifying vulnerable locations and critical timings. Using graph-based analysis, we map data flow, evaluating risk based on how long and how closely sensitive data resides near output ports. Applied to five open-source designs, TDM effectively enhances SoC security by measuring susceptibility to threats.

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Published
2024-11-18
DOI
https://doi.org/10.1109/iccd63220.2024.00029
Citations
1
Primary Topic
Security and Verification in Computing
Type
article
Field-Weighted Citation Impact
0.35
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article

TDM: Time and Distance Metric for Quantifying Information Leakage Vulnerabilities in SoCs

Sujan Kumar Saha, Huijian Li, Farimah Farahmandi, Avinash Ayalasomayajula et al.
1 citations
Security and Verification in Computing
0.35
article

TDM: Time and Distance Metric for Quantifying Information Leakage Vulnerabilities in SoCs

Sujan Kumar Saha, Huijian Li, Farimah Farahmandi, Avinash Ayalasomayajula, Hasan Al Shaikh
article en
1 citations

Abstract

Protecting assets against information leakage is crucial to ensure System-on-Chip (SoC) security. This paper introduces a Time and Distance-based security metric (TDM) to assess information leakage risks across hardware Intellectual Properties (IPs) in SoC architectures. TDM quantifies both asset exposure time and spatial proximity to external threats, identifying vulnerable locations and critical timings. Using graph-based analysis, we map data flow, evaluating risk based on how long and how closely sensitive data resides near output ports. Applied to five open-source designs, TDM effectively enhances SoC security by measuring susceptibility to threats.

University of Florida (US)
Climate action
Openalex Percentile: Top 30%
Security and Verification in Computing
0.35
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TDM: Time and Distance Metric for Quantifying Information Leakage Vulnerabilities in SoCs — Sujan Kumar Saha, Huijian Li, et al. · (2024) | TGRS Research Map | TGRS