Recently, door access control with Internet of Things (IoT) has become increasingly popular in the field of security. However, conventional approaches such as video-based or biological information based cannot satisfy the requirements of personal privacy protection in the modern society. Hence, a wireless signal based technique which does not need users to carry any devices, called device-free have been introduced in recent years to detect and identify persons. In this paper, we present BLEDoorGuard, a wireless, invisible and robust door access system which leverages received signal strength indicator (RSSI) from Bluetooth Low Energy (BLE) beacons to recognise a person who accesses a door. We evaluated BLEDoorGuard in two real world scenarios: the first is an office with a key lock, and the second is a meeting room with swipe card access. We exploit the characteristics of use of BLE for person identification and propose a two-step algorithm with multiple classifiers. We demonstrate that BLEDoorGuard is capable of identifying the actual user during door access with an accuracy of 69% and 62% among groups of 6 and 10 people, respectively.
@article{DBLP:journals/iotj/ShaoNQYS18,
author = {Wei Shao and
Thuong Nguyen and
A. Kai Qin and
Moustafa Youssef and
Flora D. Salim},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/journals/iotj/ShaoNQYS18.bib},
doi = {10.1109/JIOT.2018.2868243},
journal = {IEEE Internet Things J.},
number = {6},
pages = {5227--5239},
timestamp = {Mon, 08 Jun 2020 01:00:00 +0200},
title = {BLEDoorGuard: A Device-Free Person Identification Framework Using
Bluetooth Signals for Door Access},
url = {https://doi.org/10.1109/JIOT.2018.2868243},
volume = {5},
year = {2018}
}
© 2021 Flora Salim - CRUISE Research Group.