Delay-masquerading Technique Upheld StrongBox: A Reinforced Side-Channel Protection

Jiaxuan Wu, Shuoqiang Zeng, Wei-Yang Chiu, Peichen Liu, Weizhi Meng, Brooke Elizabeth Kidmose

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

In recent years, Graphical Processing Unit (GPU) is not only becoming a piece of hardware that accelerates graphics but also playing a key role in accelerating the fields of machine learning and artificial intelligence. The GPU’s heightened importance has led to increasing concern about the confidentiality of a GPU’s computing data as well as its internal communications. Although the GPU Trusted Execution Environment (TEE) has been implemented as a solution toward this issue, side-channel attacks in GPUs still remain as an open problem. In this work, we introduce Delay-masquerading Technique Upheld StrongBox (DTUBox) to strengthen the resilience of existing GPU TEE over StrongBox against side-channel attacks by injecting obfuscated noise with our developed algorithm, making the correlations difficult to reference between a task and workload. In our evaluation, we demonstrate that with only around 5% performance overhead, our approach could effectively lower the correlation rate to 38% between the original behavior sequences and the obfuscated sequences.
Original languageEnglish
Title of host publicationProceedings of the 2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)
PublisherIEEE
Publication date2024
Pages2135-2142
ISBN (Print)979-8-3503-0813-6
ISBN (Electronic)979-8-3503-3071-7
DOIs
Publication statusPublished - 2024
Event 2023 IEEE 29th International Conference on Parallel and Distributed Systems - Ocean Flower Island, China
Duration: 17 Dec 202321 Dec 2023

Conference

Conference 2023 IEEE 29th International Conference on Parallel and Distributed Systems
Country/TerritoryChina
CityOcean Flower Island
Period17/12/202321/12/2023

Keywords

  • Side-channel attack
  • Behavior obfuscation
  • AI security
  • GPU
  • TEE
  • StrongBox

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