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AmpereBleed: Exploiting On-chip Current Sensors for Circuit-Free Attacks on ARM-FPGA SoCs
DescriptionFPGAs offer superior energy efficiency and performance in parallel computing but are vulnerable to remote power side-channel attacks. Existing attacks rely on assumptions of co-resident crafted circuits and shared power delivery networks, limiting their practicality in real-world scenarios. In this paper, we present AmpereBleed, a novel current-based side-channel attack that exploits widely available INA226 sensors in ARM-FPGA SoCs, bypassing the aforementioned two assumptions. AmpereBleed achieves 261x greater variations to victim activities compared to the popular ring oscillator (RO) circuit, fingerprints DNN models on the Xilinx Deep Learning Processor Unit (DPU) with 99.7% accuracy, and distinguishes Hamming weights of RSA-1024 keys.
Event Type
Research Manuscript
TimeMonday, June 2310:30am - 10:45am PDT
Location3003, Level 3
Topics
Security
Tracks
SEC3: Hardware Security: Attack & Defense