TY - JOUR
T1 - Crowd-Assisted Hardware Identifier Updates for Securing Beacon-Centric IoT Networks
AU - Jeon, Kang Eun
AU - Wong, Simon
AU - She, James
AU - Ghinita, Gabriel
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2024/5/24
Y1 - 2024/5/24
N2 - BLE beacon networks are widely adopted for Internet of Things (IoT) and smart city applications, but they are susceptible to security threats, including piggybacking and spoofing attacks. These attacks can infringe on or even jeopardize the profitability of network owners. To address this issue, BLE beacon packets are often encrypted or updated periodically, which requires frequent synchronization between individual beacons and a centralized server, consuming significant resources. We propose a novel crowd-assisted, secure BLE identifier (ID) updating framework that significantly reduces network overhead. The proposed framework quantifies mobile crowdsourcing participant presence to dynamically adjust the pool size of the required beacon IDs. Our experiments, which factor in real-life user presence information, prove the practicality of our framework, which reduced the network resource consumption by up to 90%.
AB - BLE beacon networks are widely adopted for Internet of Things (IoT) and smart city applications, but they are susceptible to security threats, including piggybacking and spoofing attacks. These attacks can infringe on or even jeopardize the profitability of network owners. To address this issue, BLE beacon packets are often encrypted or updated periodically, which requires frequent synchronization between individual beacons and a centralized server, consuming significant resources. We propose a novel crowd-assisted, secure BLE identifier (ID) updating framework that significantly reduces network overhead. The proposed framework quantifies mobile crowdsourcing participant presence to dynamically adjust the pool size of the required beacon IDs. Our experiments, which factor in real-life user presence information, prove the practicality of our framework, which reduced the network resource consumption by up to 90%.
KW - Beacon infrastructure
KW - Internet of Things (IoT)
KW - mobile crowdsourcing
KW - resource consumption reduction
UR - http://www.scopus.com/inward/record.url?scp=85194055401&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2024.3403526
DO - 10.1109/JIOT.2024.3403526
M3 - Article
AN - SCOPUS:85194055401
SN - 2327-4662
VL - 11
SP - 32527
EP - 32539
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 20
ER -