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| OP-TEE | |
|---|---|
| Name | OP-TEE |
| Developer | Linaro, STMicroelectronics, GlobalPlatform |
| Released | 2014 |
| Programming language | C, Assembly |
| Operating system | Trusted Execution Environment |
| License | BSD-3-Clause |
OP-TEE OP-TEE is an open-source Trusted Execution Environment (TEE) implementation designed to run alongside rich operating systems on Arm architecture platforms. It provides a secure runtime for isolation of sensitive code and data, aiming to comply with GlobalPlatform specifications while integrating with projects such as Linux, Android, and Trusted Firmware. OP-TEE is used in embedded, mobile, and server-class systems to host trusted applications that perform cryptographic operations, key management, and secure storage.
OP-TEE functions as a companion to non-secure kernels like Linux and Android, interoperating with a secure monitor such as ARM Trusted Firmware to switch contexts between worlds. It follows design principles from architectures and projects including ARM architecture, GlobalPlatform, Trusted Platform Module, and Secure Boot ecosystems. OP-TEE’s codebase has contributions from organizations including Linaro, STMicroelectronics, NXP Semiconductors, Google, and Intel Corporation contributors, reflecting cross-industry collaboration found in initiatives like Yocto Project and OpenEmbedded.
The OP-TEE architecture separates execution into a non-secure world and a secure world mediated by a secure monitor such as ARM TrustZone or hypervisors like Xen. Core components interact with host environments: a Linux kernel driver (TEE client) comparable to drivers in Android Open Source Project stacks, a secure OS kernel within OP-TEE analogous to microkernel approaches like seL4, and Trusted Applications (TAs) executing in secure user space similar to components in Intel Software Guard Extensions. Communication uses the GlobalPlatform Client and Core APIs mirroring standards used by PKCS#11 integrators and FIDO implementations. Storage and cryptography rely on primitives interoperable with OpenSSL and hardware accelerators from vendors such as Qualcomm, Broadcom, and MediaTek.
Trusted Applications in OP-TEE are small user-mode programs written in C and built with toolchains like GNU Compiler Collection and LLVM. TAs implement services such as key provisioning, secure elements interface, and attestation similar to solutions from Yubico, Gemalto, and Infineon Technologies. The TA loading model supports signed binaries akin to processes used by Secure Boot and interacts with trusted peripherals and co-processors like Cryptographic coprocessor units integrated in SoCs from Samsung Electronics and Texas Instruments.
OP-TEE’s threat model assumes a fully compromised non-secure world, leveraging isolation techniques aligned with ARMv8-A security extensions and concepts from Common Criteria and FIPS 140-2 validations. Features include secure storage, hardware-backed random number generation sourced from vendors like NVIDIA Corporation and Xilinx, and attestation mechanisms comparable to Remote attestation in Trusted Execution Environment discussions. The project integrates mitigations for side-channel concerns informed by research from institutions such as MIT, ETH Zurich, and University of Cambridge.
Development for OP-TEE uses collaborative platforms and tools like GitHub, continuous integration pipelines inspired by Jenkins (software), and static analysis tools comparable to Coverity and Clang Static Analyzer. Cross-compilation uses toolchains and build systems seen in GNU Make workflows and CMake adoption across embedded projects. Debugging and profiling integrate with tools from Linaro toolchains, GDB remote stubs, and tracing frameworks analogous to ftrace and perf (Linux).
OP-TEE is deployed in mobile devices alongside vendors such as Samsung Electronics, in embedded systems from NXP Semiconductors and STMicroelectronics, and in network equipment influenced by Cisco Systems architecture patterns. Use cases span mobile payment systems like those supported by EMVCo schemes, biometric authentication approaches found in Apple and Google ecosystems, Digital Rights Management scenarios similar to Widevine and PlayReady, Internet of Things deployments in ARM Cortex-M ecosystems, and cloud hardware root-of-trust integrations analogous to Confidential Computing initiatives promoted by Microsoft and Google Cloud Platform.
OP-TEE originated from collaborative efforts in the mid-2010s with upstream integration promoted by Linaro and partners including STMicroelectronics and GlobalPlatform. Its community includes contributors from commercial vendors, academic labs such as TU Delft and University of California, Berkeley, and standards bodies like GlobalPlatform and Trusted Computing Group. Governance and development practices mirror open-source projects such as Linux kernel and U-Boot, with discussion, patches, and releases coordinated via mailing lists and repositories similar to those used by OpenWrt and Buildroot communities.