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    可信执行环境:现状与展望

    Trusted Execution Environment: State-of-the-Art and Future Directions

    • 摘要: 当前在云服务、移动社交网络下用户普遍追求隐私保护、安全计算,从而推动了隐私计算、机密计算等领域的快速发展. 可信执行环境(trusted execution environment,TEE)作为机密计算服务中重要的技术基础已经广泛部署到各类计算平台中. 目前,以Intel,Arm等为代表的设备制造商采用软硬件隔离机制,推出了多类实用TEE技术并不断迭代更新,从功能上更加方便设备管理者、普通用户使用安全服务. 研究人员则根据不同的系统架构和应用需求,优化TEE模型,扩大可信应用领域并提升其工作效率. 全面分析主流系统架构(包括x86、Arm、RISC-V、异构计算单元)中TEE技术发展路线、技术特点包括基础硬件设施设计、软件接口定义、安全边界等,挖掘TEE技术可行的应用场景. 同时,分析各类TEE技术面临的挑战,探讨TEE技术局限性以及自身面临的安全风险如侧信道攻击等. 在此基础上,从安全性、功能性等方面总结各类TEE技术优缺点,并提出TEE技术未来的发展思路.

       

      Abstract: Trusted execution environment (TEE) technologies are widely developed in the current computer systems along with the user’s serious concerns about privacy protection, secure computing, etc. in network services. Generally, TEEs provide an isolated execution environment for the managers and users for privacy and confidential computing even if the underlying operating systems are compromised. To build the TEEs, the device manufacturers like Intel, Arm update the hardware foundation by adding the external processor mode, memory control, cryptography engine, etc. In addition, they provide corresponding interfaces in the system following the application requirements. Except that, researchers further design compatible TEE models for various goals with the above hardware or firmware assistance. We comprehensively analyze the technical characteristics of TEE technology in mainstream system architecture (including x86, Arm, RISC-V, heterogeneous computing unit), including infrastructure and hardware facilities design, software interface definition, security boundary, etc., and explore the feasible application scenarios of TEE technology. At the same time, we analyze the challenges of current TEE technologies and discuss the limitations and the security risks, e.g., side-channel attacks. Finally, we summarize the advantages and disadvantages of various TEE technologies from the aspects of security and functionality, and consider the future development of TEE.

       

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