Web: http://arxiv.org/abs/2303.07466

March 15, 2023, 1:10 a.m. | Justin McMillen, Gokhan Mumcu, Yasin Yilmaz

cs.CR updates on arXiv.org arxiv.org

Radio frequency (RF) fingerprinting is a tool which allows for authentication
by utilizing distinct and random distortions in a received signal based on
characteristics of the transmitter. We introduce a deep learning-based
authentication method for a novel RF fingerprinting system called Physically
Unclonable Wireless Systems (PUWS). An element of PUWS is based on the concept
of Chaotic Antenna Arrays (CAAs) that can be cost effectively manufactured by
utilizing mask-free laser-enhanced direct print additive manufacturing
(LE-DPAM). In our experiments, using simulation …

authentication deep learning fingerprint

More from arxiv.org / cs.CR updates on arXiv.org

Product Security Architect / Red Team PenTester for AUTOSAR (m/w/d)

@ Bosch Group | Stuttgart, Germany

Cloud Security Engineer - 100% US REMOTE

@ Experian | Allen, TX, United States

System Security Analyst

@ Ashburn Consulting | Baltimore, MD, United States

Senior Advisor, Cyber

@ NielsenIQ | Chicago, IL, United States

Junior Application Security Engineer

@ Netcompany-Intrasoft | Athens, Greece

IT and process Control Security Architect

@ Statkraft | Oslo, Norway

Data Scientist, Sr. Consultant - Cybersecurity AI Research & Products

@ Visa | Ashburn, VA, United States

Senior Platform Security Engineer

@ Block | Melbourne, Australia

Snr Security Engineer (cloud)

@ Verisk | Málaga, Spain

Cybersecurity Analyst

@ Visa | Bengaluru, India

Information Security Engineer

@ ServiceNow | Orlando, FL, United States

Director of Cloud Security - 100% US REMOTE

@ Experian | Allen, TX, United States