Engineering, Technology & Applied Science Research (Aug 2024)

NIST CSF-2.0 Compliant GPU Shader Execution

  • Nelson Lungu,
  • Ahmad Abdulqadir Al Rababah,
  • Bibhuti Bhusan Dash,
  • Asif Hassan Syed,
  • Lalbihari Barik,
  • Suchismita Rout,
  • Simon Tembo,
  • Charles Lubobya,
  • Sudhansu Shekhar Patra

DOI
https://doi.org/10.48084/etasr.7351
Journal volume & issue
Vol. 14, no. 4

Abstract

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This article introduces a mechanism for ensuring trusted GPU shader execution that adheres to the NIST Cybersecurity Framework (CSF) 2.0 standard. The CSF is a set of best practices for reducing cybersecurity risks. We focus on the CSF’s identification, protection, detection, and response mechanisms for GPU-specific security. To this end, we exploit recent advancements in side-channel analysis and hardware-assisted security for the real-time and introspective monitoring of shader execution. We prototype our solution and measure its performance across different GPU platforms. The evaluation results demonstrate the effectiveness of the proposed mechanism in detecting anomalous shader behaviors that only incur modest overhead at runtime. Integrating the CSF 2.0 principles into the proposed GPU shader pipeline leads to an organizational recipe for securing heterogeneous computing resources.

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