Poster: Hybrid detection mechanism for spoofing attacks in bluetooth low energy networks
Paper i proceeding, 2024

As the foremost protocol for low-power communication, Bluetooth Low Energy (BLE) significantly impacts various aspects of our lives, including industry and healthcare. Given BLE's inherent security limitations and firmware vulnerabilities, spoofing attacks can readily compromise BLE devices and jeopardize privacy data. In this paper, we introduce BLEGuard, a hybrid mechanism for detecting spoofing attacks in BLE networks. We established a physical Bluetooth system to conduct attack simulations and construct a substantial dataset (BLE-SAD). BLEGuard integrates pre-detection, reconstruction, and classification models to effectively identify spoofing activities, achieving an impressive preliminary accuracy of 99.01%, with a false alarm rate of 2.05% and an undetection rate of 0.36%.

mobile systems

deep learning

security and privacy


Hanlin Cai

Maynooth University

Fuzhou University

Yuchen Fang

Maynooth University

Jiacheng Huang

Maynooth University

Meng Yuan

Fuzhou University

Chalmers, Elektroteknik, System- och reglerteknik

Zhezhuang Xu

Fuzhou University

MOBISYS 2024 - Proceedings of the 2024 22nd Annual International Conference on Mobile Systems, Applications and Services

9798400705816 (ISBN)

22nd Annual International Conference on Mobile Systems, Applications and Services, MOBISYS 2024
Minato-ku, Japan,





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