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Efficient Isolation Protocol for B and T Lymphocytes from Human Palatine Tonsils
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Trust Beyond Border: Lightweight, Verifiable User Isolation for Protecting In-Enclave Services.

Wenhao Wang1, Weijie Liu2, Hongbo Chen2

  • 1State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China.

IEEE Transactions on Dependable and Secure Computing
|December 28, 2023
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Summary
This summary is machine-generated.

Intel Software Guard Extensions (SGX) TEEs lack user isolation. Liveries introduces lightweight, verifiable in-enclave user isolation for time-sharing services, protecting sensitive data with minimal overhead.

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Systems Security

Background:

  • Trusted Execution Environments (TEEs), like Intel's Software Guard Extensions (SGX), lack in-enclave isolation.
  • This limitation prevents secure execution of multiple users' tasks within a single enclave, hindering real-world applications like shared machine learning models or microservices.

Purpose of the Study:

  • To develop a technique for lightweight, verifiable in-enclave user isolation.
  • To enable secure time-sharing services within a single enclave.
  • To protect sensitive user data against adversaries even with enclave compromise.

Main Methods:

  • Introduced Liveries, a novel technique for in-enclave user isolation.
  • Implemented privilege restriction for in-enclave threads during enclave configuration.
  • Developed integrity checks and sanitization for critical enclave data during user switches.

Main Results:

  • Liveries provides lightweight in-enclave user isolation with only 1% performance overhead.
  • The technique is verifiable, with approximately 3200 lines of code.
  • Achieved protection of sensitive user data, including session keys, against compromised enclaves.

Conclusions:

  • Liveries offers a viable solution for secure time-sharing in TEEs.
  • The technique represents a significant step towards assured protection for real-world in-enclave services.
  • Enables broader adoption of TEEs for multi-user sensitive applications.