Earticle

초록

영어

In the metaverse-- the threat verse, the user identity security is not suffice. The user identities linked to the traversing avatars utilize biometric authentication to authenticate and dictate their actions in the metaverse. Biometric authentication demands input in the form of facial, voice, iris/gaze, and physiological behavioural patterns for its user. Additionally, combining these biometrics with neurometrics for enhanced authentication is being explored. These Neurometric-based authentication systems are less discovered due to their complexity and practicality. However, these systems are stabilized by consuming the Artificial Intelligence (AI) Model Fusion. These systems are unprobed towards their sustainability, security, and usability. Therefore, we attempted to explore the Neurometric-based authentication systems stabilized with AI model fusions. We acutely examined these systems’ infrastructure and its susceptibility to existing threats. This led us to introduce the absent components to be included in the system infrastructure to increase its potential towards probable threats. However, we conclude our study exploring this new direction of possibilities for a Neurometricbased authentication system for the virtual world environment.

목차

Abstract
I. INTRODUCTION
II. RELATED WORK
III. PROPOSED NEUROMETRIC AUTHENTICATION SYSTEM FRAMEWORK
IV. CONCLUSION
ACKNOWLEDGMENT
REFERENCES

키워드

저자

• Arpita Dinesh Sarang [ SysCore Lab, Department of Information Security and Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, South Korea ]
• Ki-Woong Park [ Department of Information Security and Convergence Engineering for Intelligent Drone, Sejong University, Seoul 05006, South Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국차세대컴퓨팅학회 학술대회

• 간기

  반년간

• 수록기간

  2021~2025

• 십진분류

  KDC 566 DDC 004