Multi-Modal Biometric Authentication for Secure Access Control in Autonomous Vehicles: Utilizes multi-modal biometric authentication to ensure secure access control in autonomous vehicles
Keywords:
Autonomous Vehicle, Biometric Authentication, Multi-Modal,Abstract
In the era of autonomous vehicles (AVs), ensuring secure access control is paramount for both user safety and data protection. Traditional authentication methods, such as passwords or key fobs, are susceptible to theft or loss, compromising the security of AVs. Multi-modal biometric authentication, which combines multiple biometric traits for identification, offers a promising solution. This paper explores the use of multi-modal biometric authentication for secure access control in AVs, discussing its advantages, challenges, and implementation strategies. We analyze various biometric modalities, such as facial recognition, fingerprint scanning, iris recognition, voice recognition, and gait analysis, and their suitability for AVs. Additionally, we examine the integration of biometric authentication with existing AV systems and the implications for user privacy and data security. Through case studies and simulations, we demonstrate the effectiveness of multi-modal biometric authentication in enhancing the security of AV access control.
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