Pre-print: Radio Identity Verification-based IoT Security Using RF-DNA Fingerprints and SVM

05/19/2020
by   Donald Reising, et al.
0

It is estimated that the number of IoT devices will reach 75 billion in the next five years. Most of those currently, and to be deployed, lack sufficient security to protect themselves and their networks from attack by malicious IoT devices that masquerade as authorized devices to circumvent digital authentication approaches. This work presents a PHY layer IoT authentication approach capable of addressing this critical security need through the use of feature reduced Radio Frequency-Distinct Native Attributes (RF-DNA) fingerprints and Support Vector Machines (SVM). This work successfully demonstrates 100 randomly chosen radios at signal-to-noise ratios greater than or equal to 6 dB, and (ii) rejection of all rogue radio ID spoofing attacks at signal-to-noise ratios greater than or equal to 3 dB using RF-DNA fingerprints whose features are selected using the Relief-F algorithm.

READ FULL TEXT

page 4

page 6

page 7

page 8

page 10

page 11

page 12

page 14

research
05/06/2020

Preprint: Using RF-DNA Fingerprints To Classify OFDM Transmitters Under Rayleigh Fading Conditions

The Internet of Things (IoT) is a collection of Internet connected devic...
research
04/02/2023

Improving RF-DNA Fingerprinting Performance in an Indoor Multipath Environment Using Semi-Supervised Learning

The number of Internet of Things (IoT) deployments is expected to reach ...
research
03/01/2023

Access-based Lightweight Physical Layer Authentication for the Internet of Things Devices

Physical-layer authentication is a popular alternative to the convention...
research
04/19/2020

Device Authentication Codes based on RF Fingerprinting using Deep Learning

In this paper, we propose Device Authentication Code (DAC), a novel meth...
research
04/25/2018

Joint Energy and SINR Coverage in Spatially Clustered RF-powered IoT Network

Owing to the ubiquitous availability of radio-frequency (RF) signals, RF...
research
05/05/2022

RF Impairment Model-Based IoT Physical-Layer Identification for Enhanced Domain Generalization

For small, inexpensive, and power-constrained IoT devices, Radiofrequenc...

Please sign up or login with your details

Forgot password? Click here to reset