Bit2Watt:一种利用 GPU 负载破坏电力与计算基础设施的网 - 物融合漏洞
AuthorsZhouhao Ji 2026-9-18 02:51:53 Author: tches.iacr.org(查看原文) 阅读量:11 收藏

Authors

  • Zhouhao Ji Zhejiang University, Hangzhou, China
  • Kaikai Pan Zhejiang University, Hangzhou, China
  • Wenyuan Xu Zhejiang University, Hangzhou, China

DOI:

https://doi.org/10.46586/tches.v2026.i4.181-207

Keywords:

Cyber-physical security, Systemic vulnerability, Electric power networks, Computing infrastructure, GPU power modulation

Abstract

Modern data centers increasingly rely on large-scale GPU clusters and on-site renewable energy resources, resulting in a tightly coupled cyber–physical system between computing workloads and power-electronic-dominated grids. In this paper, we reveal Bit2Watt, a previously unexplored vulnerability in which an adversary manipulates GPU workloads to induce controlled, high-frequency power modulations that destabilize local power infrastructure and propagate back to disrupt computing services. Unlike traditional attacks that compromise grid-side devices or communication channels, Bit2Watt operates entirely within the cyber layer as a legal tenant, which could amplify fluctuations, harmonic distortion, and damping degradation, particularly in high-DER-penetration scenarios. This risk is difficult to detect under routine cloud- and facility-side monitoring because Bit2Watt exploits legitimate workload execution paths and concentrates much of its distinctive behavior in high-frequency components that are weakly captured by common telemetry. We validate Bit2Watt through impedance-based analysis, power system simulations, and real-world experiments on GPUs and grid-connected PV inverters. Under the synchronized worst-case aggregation model studied in the paper, manipulating 1,000 GPUs in a 1-MW local power system with 90% DERs raises current THD to 46.8% and results in a damping ratio of -0.27. We further show that the resulting power-quality degradation can stress data-center power-delivery equipment, trigger protection mechanisms, and, in extreme simulated cases, induce cascading failures in transmission-scale systems. In addition, we analyze a plausible Watt2Bit feedback path, including denial-of-service risks and covert information exfiltration via EMI side channels. This work exposes a vulnerability at the intersection of modern computing and renewable-integrated power systems, highlighting the urgent need for cross-layer defenses that jointly consider workload scheduling and power electronics.

How to Cite

Ji, Z., Pan, K., & Xu, W. (2026). Bit2Watt: A Cyber–Physical Vulnerability Exploiting GPU Workloads Across Power and Computing Infrastructure. IACR Transactions on Cryptographic Hardware and Embedded Systems, 2026(4), 181-207. https://doi.org/10.46586/tches.v2026.i4.181-207


文章来源: https://tches.iacr.org/index.php/TCHES/article/view/13237
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