TY - GEN
T1 - HiNoVa
T2 - 28th IEEE Symposium on Computers and Communications, ISCC 2023
AU - Puppo, Luke
AU - Wong, Weng Keen
AU - Hamdaoui, Bechir
AU - Elmaghbub, Abdurrahman
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - New capabilities in wireless network security have been enabled by deep learning, which leverages patterns in radio frequency (RF) data to identify and authenticate devices. Open-set detection is an area of deep learning that identifies samples captured from new devices during deployment that were not part of the training set. Past work in open-set detection has mostly been applied to independent and identically distributed data such as images. In contrast, RF signal data present a unique set of challenges as the data forms a time series with non-linear time dependencies among the samples. We introduce a novel open-set detection approach based on the patterns of the hidden state values within a Convolutional Neural Network Long Short-Term Memory model. Our approach greatly improves the Area Under the Precision-Recall Curve on LoRa, Wireless-WiFi, and Wired-WiFi datasets, and hence, can be used successfully to monitor and control unauthorized network access of wireless devices.
AB - New capabilities in wireless network security have been enabled by deep learning, which leverages patterns in radio frequency (RF) data to identify and authenticate devices. Open-set detection is an area of deep learning that identifies samples captured from new devices during deployment that were not part of the training set. Past work in open-set detection has mostly been applied to independent and identically distributed data such as images. In contrast, RF signal data present a unique set of challenges as the data forms a time series with non-linear time dependencies among the samples. We introduce a novel open-set detection approach based on the patterns of the hidden state values within a Convolutional Neural Network Long Short-Term Memory model. Our approach greatly improves the Area Under the Precision-Recall Curve on LoRa, Wireless-WiFi, and Wired-WiFi datasets, and hence, can be used successfully to monitor and control unauthorized network access of wireless devices.
KW - Device authentication
KW - RF device fingerprinting
KW - deep learning
KW - open-set detection
UR - http://www.scopus.com/inward/record.url?scp=85172006777&partnerID=8YFLogxK
U2 - 10.1109/ISCC58397.2023.10217841
DO - 10.1109/ISCC58397.2023.10217841
M3 - Conference contribution
AN - SCOPUS:85172006777
T3 - Proceedings - IEEE Symposium on Computers and Communications
SP - 1122
EP - 1128
BT - ISCC 2023 - 28th IEEE Symposium on Computers and Communications
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 July 2023 through 12 July 2023
ER -