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INTROSPECTRE: A Pre-Silicon Framework for Discovery and Analysis of Transient Execution Vulnerabilities

The work

AuthorsMoein Ghaniyoun; Kristin Barber; Yinqian Zhang; Radu Teodorescu
Editors
Typemisc
Year2021
Citekeyghaniyoun2021introspectre

Where it appeared

Published inACM/IEEE International Symposium on Computer Architecture (ISCA)
Pages874--887

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Abstract

Transient execution vulnerabilities originate in the extensive speculation implemented in modern high-performance microprocessors. Identifying all possible vulnerabilities in complex designs is very challenging. One of the challenges stems from the lack of visibility into the transient micro-architectural state of the processor. Prior work has used covert channels to identify data leakage from transient state, which limits the systematic discovery of all potential leakage sources.This paper presents INTROSPECTRE, a pre-silicon framework for early discovery of transient execution vulnerabilities. IN- TROSPECTRE addresses the lack of visibility into the micro- architectural processor state by integrating into the register transfer level (RTL) design flow, gaining full access to the internal state of the processor. Full visibility into the processor state enables INTROSPECTRE to perform a systematic leakage analysis that includes all micro-architectural structures, allowing it to identify potential leakage that may not be reachable with known side channels. We implement INTROSPECTRE on an RTL simulator and use it to perform transient leakage analysis on the RISC-V BOOM processor. We identify multiple transient leakage scenarios, most of which had not been highlighted on this processor design before.

How it got here

How it got hereagent via openalex
Added2026-10-27 19:50 UTC
Not denied bya person 2026-10-29 17:12 UTC

Filed under

hardware-security

Cite it as

@misc{ghaniyoun2021introspectre,
  title        = {INTROSPECTRE: A Pre-Silicon Framework for Discovery and Analysis of Transient Execution Vulnerabilities},
  author       = {Moein Ghaniyoun and Kristin Barber and Yinqian Zhang and Radu Teodorescu},
  year         = {2021},
  journal      = {ACM/IEEE International Symposium on Computer Architecture (ISCA)},
  pages        = {874--887},
  doi          = {10.1109/isca52012.2021.00073},
}

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