Contribution of TEE and Parallel Computing to Performance and Security of Biometric Authentication Improvement

Abstract

In a world increasingly dominated by digital interactions, it has become essential to guarantee the authenticity of personal identities. Traditional authentication methods, based on passwords or tokens, are proving inadequate in the face of advanced cyber threats. In response, the field of biometric recognition has emerged as a transformative force, offering a new paradigm for identity verification with significant accuracy and convenience. The problems that arise here are the vulnerability and confidentiality of biometric data before, during and after a biometric recognition operation, and the low processing speed during the same operation. The aim of this work is to propose a combination of the concepts of parallel computing and Trusted Execution Environments (TEE) as a solution to the problems raised. Finally, a hardware-assisted technology namely Intel SGX (Software Guard Extensions) is proposed for practical implementations.

Keywords

• parallel computing
• trusted execution environment
• biometric data
• sgx