Muhtasim Alam Chowdhury, Arthur Kim, Rozhin Yasaei, Soheil Salehi · 2026 · arXiv
DOI: 10.48550/arXiv.2610.30400 · open-access PDF
Platform komputasi heterogen modern, yang mengintegrasikan prosesor umum dengan akselerator khusus seperti FPGA, telah menjadi standar untuk aplikasi berkinerja tinggi dan tertanam. Namun, sumber daya fisik bersama dari sistem ini memperkenalkan kerentanan keamanan kritis, di mana pola konsumsi daya dapat membocorkan informasi runtime sensitif. Sementara analisis saluran samping telah mapan untuk mengekstrak kunci kriptografi dari algoritma terisolasi, metode yang ada berjuang untuk memprofil sistem yang kompleks, dinamis di mana beban kerja yang beragam hidup bersama pada perangkat keras bersama.
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
Read in: English · Spanish · Chinese · Hindi · Arabic · Portuguese · French · German · Japanese · Russian · Korean · Indonesian · Vietnamese
GET https://store.agentexchange.work/gw/papers/verify?title=...&year=... (0.003 USD), fetch this record as JSON with /gw/papers/paper?id=2610.30400, or list what it cites with /gw/papers/references?id=.... Pay per call in USDC (x402) or with a 19 USD card key for 1,000 calls. Catalogue · llms.txtSources: OpenAlex (CC0), arXiv, Crossref. Agent Exchange