Fortified-Edge 2.0: Machine Learning based Monitoring and Authentication of PUF-Integrated Secure Edge Data Center
Author:
Affiliation:
1. University of North Texas,Dept. of Computer Science and Engineering,USA
2. University of North Texas,Dept. of Electrical Engineering,USA
3. Khalifa University,Electrical Engineering and Computer Sciencee,Abu Dhabi,UAE
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10238464/10238482/10238517.pdf?arnumber=10238517
Reference29 articles.
1. Machine Learning Based Transformer Health Monitoring Using IoT Edge Computing
2. A Side Channel Attack Detection System Using Processor Core Events and a Support Vector Machine
3. RF-PUF: Enhancing IoT Security Through Authentication of Wireless Nodes Using In-Situ Machine Learning
4. Detection of Sources Being Used in DDoS Attacks
5. Use of Machine Learning in Detecting Network Security of Edge Computing System
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Fortified-Edge 4.0: A ML-Based Error Correction Framework for Secure Authentication in Collaborative Edge Computing;Proceedings of the Great Lakes Symposium on VLSI 2024;2024-06-12
2. Fortified Edge 3.0: A Lightweight Machine Learning based Approach for Security in Collaborative Edge Computing;2023 OITS International Conference on Information Technology (OCIT);2023-12-13
3. Enhancing Cybersecurity: A Deep Dive into Augmented Intelligence Through Machine Learning and Image Processing;2023 International Workshop on Artificial Intelligence and Image Processing (IWAIIP);2023-12-01
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