NIST CSF-2.0 Compliant GPU Shader Execution

Authors

  • Nelson Lungu Electrical and Electronical Engineering, University of Zambia, Lusaka, Zambia
  • Ahmad Abdulqadir Al Rababah Faculty of Computing and Information Technology, King Abdulaziz University, Rabigh, Saudi Arabia
  • Bibhuti Bhusan Dash School of Computer Applications, KIIT Deemed to be University, Bhubaneswar, India
  • Asif Hassan Syed Faculty of Computing and Information Technology, King Abdulaziz University, Rabigh, Saudi Arabia
  • Lalbihari Barik Faculty of Computing and Information Technology, King Abdulaziz University, Rabigh, Saudi Arabia
  • Suchismita Rout School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India
  • Simon Tembo Electrical and Electronical Engineering,University of Zambia, Lusaka, Zambia
  • Charles Lubobya Electrical and Electronical Engineering, University of Zambia, Lusaka, Zambia
  • Sudhansu Shekhar Patra School of Computer Applications, KIIT Deemed to be University, Bhubaneswar, India
Volume: 14 | Issue: 4 | Pages: 15187-15193 | August 2024 | https://doi.org/10.48084/etasr.7351

Abstract

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.

Keywords:

GPU security, shader execution attacks/defenses, anomaly detection techniques, NIST CSF mapping, real-time protection mechanisms

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References

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How to Cite

[1]
Lungu, N., Al Rababah, A.A., Dash, B.B., Syed, A.H., Barik, L., Rout, S., Tembo, S., Lubobya, C. and Patra, S.S. 2024. NIST CSF-2.0 Compliant GPU Shader Execution. Engineering, Technology & Applied Science Research. 14, 4 (Aug. 2024), 15187–15193. DOI:https://doi.org/10.48084/etasr.7351.

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