Dual-mode Integrity Measurement System Based on Virtualized TEE

The Trusted Execution Environment (TEE) is mainly used to protect sensitive information and ensure security. TEE has been in the system structure of various mobile devices. With development TEE, attack methods against gradually appear. virtualized architecture proposed by existing research can solve some security problems caused architecture, but there are still deficiencies. To enhance a TEE-based kernel integrity measurement scheme proposed, identity-based neural network-based measurements different scenarios. experimental results show that designed dual-mode effectively detect attacks objects little impact on performance, thus achieving enhancements for TEE.