Muhtasim Alam Chowdhury, Arthur Kim, Rozhin Yasaei, Soheil Salehi · 2026 · arXiv
DOI: 10.48550/arXiv.2610.30400 · open-access PDF
As plataformas de computação heterogêneas modernas, que integram processadores de propósito geral com aceleradores especializados, como FPGAs, tornaram-se o padrão para aplicações de alto desempenho e embutidas. No entanto, os recursos físicos compartilhados desses sistemas introduzem vulnerabilidades de segurança críticas, onde os padrões de consumo de energia podem vazar informações de tempo de execução sensíveis. Enquanto a análise de canais laterais é bem estabelecida para extrair chaves criptográficas de algoritmos isolados, os métodos existentes lutam para perfilar sistemas complexos e dinâmicos onde várias cargas de trabalho coexistem em hardware compartilhado.
Machine translation (Meta M2M100); the English original follows.
Modern heterogeneous computing platforms, which integrate general-purpose processors with specialized accelerators such as FPGAs, have become the standard for high-performance and embedded applications. However, the shared physical resources of these systems introduce critical security vulnerabilities, where power consumption patterns can leak sensitive runtime information. While side-channel analysis is well established for extracting cryptographic keys from isolated algorithms, existing methods struggle to profile complex, dynamic systems where diverse workloads coexist on shared hardware re
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