ADSS: An Available-but-Invisible Data Service Scheme for Fine-Grained Usage Control

The demand for mobile terminals to participate in data services is increasingly vital. The General Data Protection Regulation (GDPR) has established several principled requirements for data services. Existing studies focusing on data service put emphasis on data privacy and accessibility. However, they face challenges in achieving data forgetability and portability on mobile devices under GDPR and lack consideration of usage control. In this article, we propose ADSS, an app-level data service scheme for mobile devices that can be <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">available-but-invisible</i> and guarantee fine-grained usage control. ADSS addresses the challenges by executing the logic of data usage in the Trusted Execution Environment (TEE) and managing the TEE states (i.e., data usage states) in the blockchain smart contracts. It not only satisfies the requirements of GDPR, ensuring strong security and confidentiality guarantees, but also enables the functionality of “pay-per-use”. We implement a prototype of the ADSS framework based on ARM Trustzone and conduct experimental evaluations. The results demonstrate that our scheme brings high efficiency compared with other data service schemes and exhibits feasibility on mobile-grade devices.

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Publication Details

Journal
IEEE Transactions on Services Computing
Published
2024-11-11
DOI
https://doi.org/10.1109/tsc.2024.3495498
Citations
5
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
1.74
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article

ADSS: An Available-but-Invisible Data Service Scheme for Fine-Grained Usage Control

Chunpeng Ge, Lu Zhou, Hao Wang, Mingsheng Cao et al.
5 citations
IEEE Transactions on Services Computing
Distributed and Parallel Computing Systems
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article

ADSS: An Available-but-Invisible Data Service Scheme for Fine-Grained Usage Control

Chunpeng Ge, Lu Zhou, Hao Wang, Mingsheng Cao, Jun Wang, Yuhang Li, Zhe Liu, Weibin Wu
article en
5 citations

Abstract

The demand for mobile terminals to participate in data services is increasingly vital. The General Data Protection Regulation (GDPR) has established several principled requirements for data services. Existing studies focusing on data service put emphasis on data privacy and accessibility. However, they face challenges in achieving data forgetability and portability on mobile devices under GDPR and lack consideration of usage control. In this article, we propose ADSS, an app-level data service scheme for mobile devices that can be <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">available-but-invisible</i> and guarantee fine-grained usage control. ADSS addresses the challenges by executing the logic of data usage in the Trusted Execution Environment (TEE) and managing the TEE states (i.e., data usage states) in the blockchain smart contracts. It not only satisfies the requirements of GDPR, ensuring strong security and confidentiality guarantees, but also enables the functionality of “pay-per-use”. We implement a prototype of the ADSS framework based on ARM Trustzone and conduct experimental evaluations. The results demonstrate that our scheme brings high efficiency compared with other data service schemes and exhibits feasibility on mobile-grade devices.

IEEE Transactions on Services ComputingVol. 18(1)
University of Electronic Science and Technology of China (CN), Shandong University (CN), University of Luxembourg (LU), Zhejiang Lab (CN), Peng Cheng Laboratory (CN), Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 14%
Distributed and Parallel Computing Systems
1.74
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