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HAWC-Leak: Heterogeneous Architecture Workload Classification utilizing Side-Channel Leakage

Muhtasim Alam Chowdhury, Arthur Kim, Rozhin Yasaei, Soheil Salehi · 2026 · arXiv

DOI: 10.48550/arXiv.2610.30400 · open-access PDF

Arabic

أصبحت منصات الحاسوب المتعددة الأبعاد الحديثة، التي تتكامل مع محركات الحاسوب العامة مع محركات الحاسوب المتخصصة مثل FPGA، معايير التطبيقات ذات الأداء العالي والخلفية. ومع ذلك، فإن الموارد الفيزيائية المشتركة لهذه الأنظمة تخلق أخطار أمنية حاسمة، حيث يمكن أن تنشأ نماذج استهلاك الكهرباء معلومات عمل حساسة.

Machine translation (Meta M2M100); the English original follows.

Abstract

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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