Poster Abstract: Identifying Bluetooth Low Energy Devices

被引:2
作者
Nilsson, Daniel [1 ]
Yan, Wenqing [1 ]
机构
[1] Uppsala Univ, Uppsala, Sweden
来源
PROCEEDINGS OF THE 2021 THE 19TH ACM CONFERENCE ON EMBEDDED NETWORKED SENSOR SYSTEMS, SENSYS 2021 | 2021年
关键词
Physical-layer security; Radiometric fingerprinting; Bluetooth low energy (BLE);
D O I
10.1145/3485730.3492880
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Physical-layer identification using hardware imperfections, known as radiometric fingerprinting, has existed for some time, but little focus has been put on Bluetooth Low Energy (BLE). This work systematically explores features for physical-layer identification of BLE. We evaluate the fingerprinting performance on different feature sets, and we discuss the potential issues with the robustness that may arise in a practical environment. Accuracy results are achieved in excess of 99%, showing potential for the system to work in security settings to safeguard a Bluetooth network.
引用
收藏
页码:375 / 376
页数:2
相关论文
共 6 条
[1]  
Ali Aysha M, 2019, Assessment of features and classifiers for Bluetooth RF fingerprinting, V7, P50524
[2]  
Andrews Seth Dixon, 2019, Extensions to Radio Frequency Fingerprinting
[3]   Wireless Device Identification with Radiometric Signatures [J].
Brik, Vladimir ;
Banerjee, Suman ;
Gruteser, Marco ;
Oh, Sangho .
MOBICOM'08: PROCEEDINGS OF THE FOURTEENTH ACM INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING, 2008, :116-+
[4]   On Physical-Layer Identification of Wireless Devices [J].
Danev, Boris ;
Zanetti, Davide ;
Capkun, Srdjan .
ACM COMPUTING SURVEYS, 2012, 45 (01)
[5]   Physical-Layer Fingerprinting of LoRa devices using Supervised and Zero-Shot Learning [J].
Robyns, Pieter ;
Marin, Eduard ;
Lamotte, Wim ;
Quax, Peter ;
Singelee, Dave ;
Preneel, Bart .
PROCEEDINGS OF THE 10TH ACM CONFERENCE ON SECURITY AND PRIVACY IN WIRELESS AND MOBILE NETWORKS (WISEC 2017), 2017, :58-63
[6]  
Zhou Xinyu, 2021, A Robust Radio Frequency Fingerprint Extraction Scheme for Practical Device Recognition, V4662, P1