Amanote Research
Register
Sign In
A Machine Learning Attack Resistant Multi-Puf Design on FPGA
doi 10.1109/aspdac.2018.8297289
Full Text
Open PDF
Abstract
Available in
full text
Date
January 1, 2018
Authors
Qingqing Ma
Chongyan Gu
Neil Hanley
Chenghua Wang
Weiqiang Liu
Maire O'Neill
Publisher
IEEE
Related search
CRC-PUF: A Machine Learning Attack Resistant Lightweight PUF Construction
A Lightweight and Secure-Enhanced Strong PUF Design on FPGA
IEICE Electronics Express
Electronic Engineering
Condensed Matter Physics
Optical
Electrical
Magnetic Materials
Electronic
A PUF Design for Secure FPGA-based Embedded Systems
The BondMachine Toolkit: Enabling Machine Learning on FPGA
Prediction of Multi Drug Resistant Tuberculosis Using Machine Learning Techniques
International Journal of Engineering and Advanced Technology
Engineering
Computer Science Applications
Environmental Engineering
An Analysis of Delay Based PUF Implementations on FPGA
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Defense Mechanism for Ddos Attack Through Machine Learning
International Journal of Research in Engineering and Technology
Heart Attack Prediction by Using Machine Learning Techniques
International Journal of Recent Technology and Engineering
Engineering
Management of Technology
Innovation
Design Alternatives for a Multi-Standard Machine
The International Conference on Applied Mechanics and Mechanical Engineering