Fortified-Edge 4.0: A ML-Based Error Correction Framework for Secure Authentication in Collaborative Edge Computing-Reference-Cited by-同舟云学术

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Fortified-Edge 4.0: A ML-Based Error Correction Framework for Secure Authentication in Collaborative Edge Computing

Published:2024-06-12 Issue: Volume: Page:639-644
ISSN:
Container-title:Proceedings of the Great Lakes Symposium on VLSI 2024
language:
Short-container-title:

Author:

Aarella Seema G¹^ORCID,Yanambaka Venkata Prasanth²^ORCID,Mohanty Saraju P³^ORCID,Kougianos Elias⁴^ORCID

Affiliation:

1. Computer Science and Engineering, University of North Texas, Denton, USA

2. School of Sciences, Texas Woman's University, USA

3. Computer Science and Engineering, University of North Texas, USA

4. Electrical Engineering, University of North Texas, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3649476.3660384

Reference21 articles.

1. Fortified Edge 3.0: A Lightweight Machine Learning based Approach for Security in Collaborative Edge Computing

2. PUF-based Authentication Scheme for Edge Data Centers in Collaborative Edge Computing

3. Fortified-Edge 2.0: Machine Learning based Monitoring and Authentication of PUF-Integrated Secure Edge Data Center

4. Fortified-Edge: Secure PUF Certificate Authentication Mechanism for Edge Data Centers in Collaborative Edge Computing

5. Machine Learning Assisted PUF Calibration for Trustworthy Proof of Sensor Data in IoT

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