Leveraging gem5 and Machine Learning for End-to-End Detection of Cache-based Side-Channel Attack Patterns

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Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-09-18
Primary Topic
Cryptographic Implementations and Security
Type
article
Field-Weighted Citation Impact
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article

Leveraging gem5 and Machine Learning for End-to-End Detection of Cache-based Side-Channel Attack Patterns

SPIRE - Sciences Po Institutional REpository
Cryptographic Implementations and Security
article

Leveraging gem5 and Machine Learning for End-to-End Detection of Cache-based Side-Channel Attack Patterns

article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Télécom Paris (FR), Applied Materials (United States) (US), Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier (FR), Institut Polytechnique de Paris (FR)
Openalex Percentile: Top 20%
Cryptographic Implementations and Security
Open Access PDFOpenAlex
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Leveraging gem5 and Machine Learning for End-to-End Detection of Cache-based Side-Channel Attack Patterns · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS