Enabling Secure and Efficient Data Analytics Pipeline Evolution with Trusted Execution Environment
Summary: SecCask: a TEE (Intel SGX) pipeline manager for dynamic analytics that avoids monolithic enclaves by reusing and caching trusted runtimes and per-component enclaves to minimize cold-starts. Evaluation shows 68.4% reduction in total execution time vs no-reuse and ~29.9% average overhead over insecure baselines. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Haotian Gao
- 2. Cong Yue
- 3. Zhiyong Huang
- 4. Tien Tuan Anh Dinh
- 5. Beng Chin Ooi
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,095 | NeurStore: Efficient In-database Deep Learning Model Management System | 2026 | SIGMOD | 4.1945683e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,456 | Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities | 2021 | SIGMOD | 8.7733773e-05 |
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