Trusted Execution Environment: What It is, and What It is Not
By M. Sabt, Mohammed Achemlal, Abdelmadjid Bouabdallah. 2015 IEEE Trustcom/BigDataSE/ISPA, 2015
766 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing
View Paper: https://www.semanticscholar.org/paper/89d8aef4f772b1bb7f0bc2f5d748ac1a83b6627c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Computer Networks and Communications
In Signal Processing
- Bo Li
- Bowen Zhou
- Kyungbaek Kim
- Peter R. Pietzuch
- Jinfeng Yi
- Giang-Truong Nguyen
- Christian Priebe
- Peng Qi
Citations in the corpus
- Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems (2021, background): “ters) and the privacy of the data, code and runtime states [30].”
- SGX-LKL: Securing the Host OS Interface for Trusted Execution (2019, background): “Modern Intel [24], ARM [7] and AMD [4] CPUs offer hardware support for trusted execution environments (TEEs) [83].”
- A Survey about Consensus Algorithms Used in Blockchain (2018, methodology): “Because this consensus is executed in TEE provided by XGS devices, it is supposed that cheating with the work of the two above functions is very difficult.”
- Trustworthy AI: From Principles to Practices (2021, methodology): “From the perspective of hardware security, the concept of a trusted execution environment (TEE) is a recent representative technique that has been adopted by many hardware manufacturers [287].”