BLEGuard: Hybrid Detection Mechanism for Spoofing Attacks in Bluetooth Low Energy Networks (Student Abstract)

EasyChair Preprint no. 10902, version 1

Abstract

As the most widely used low-power communication protocol, cybersecurity research on Bluetooth Low Energy (BLE) has garnered significant attention. Due to BLE’s inherent security limitations and firmware vulnerabilities, spoofing attacks can easily compromise BLE devices and tamper with privacy data. In this paper, we proposed BLEGuard, a hybrid detection mechanism combined cyber-physical features judgment and learning-based models. We built a real-world network testbed to conduct attack simulations and capture advertising packages. Four different network features were utilized to implement detection and classification algorithms. Preliminary results have verified the feasibility of our proposed methods.

Keyphrases: Bluetooth Low Energy, classification model, Cybersecurity, reconstruction model, spoofing attack

@Booklet{EasyChair:10902,
  author = {Hanlin Cai and Yuchen Fang and Meng Yuan and Zhezhuang Xu},
  title = {BLEGuard: Hybrid Detection Mechanism for Spoofing Attacks in Bluetooth Low Energy Networks (Student Abstract)},
  howpublished = {EasyChair Preprint no. 10902},

  year = {EasyChair, 2023}}