Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

SPADE: Secure Periodic Advertising using Coded Time-Channel Rendezvous for BLE Audio

Authors
Ryoo, DokyunYoo, YongjaePaek, JeongyeupBahk, Saewoong
Issue Date
2023
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Bluetooth Low Energy; BLE)periodic advertising; selective jamming
Citation
Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023, pp 39 - 46
Pages
8
Journal Title
Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023
Start Page
39
End Page
46
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/68627
DOI
10.1109/DCOSS-IoT58021.2023.00015
ISSN
0000-0000
Abstract
Periodic advertising is an extended advertisement mechanism introduced in Bluetooth 5.0 that broadcasts time-synchronized data to multiple scanners. It is an essential operation in Auracast, a Bluetooth Low Energy (BLE) audio broadcast mechanism newly defined in 2022, which enables audio sharing applications such as hearing aid and public announcement. However, its unencrypted metadata distribution and lack of authentication make it vulnerable to simple yet destructive attacks. In this work, we first show that a selective jammer can easily and significantly degrade the performance of periodic advertising by precisely jamming only the SYNC (auxiliary synchronize indicator) packets. Then to defend against this attack, we propose SPADE as a countermeasure, a secure periodic advertising scheme using coded time-channel rendezvous and feedback. In SPADE, the broadcaster assigns a Hamming- code based device-specific time-channel sequence to each scanner using short connections. Then, it receives light-weight feedback on repetitive packets from the scanners to discriminate the jammer and update new metadata to the scanners so that the jammer is rejected. We implement SPADE on real BLE devices, and evaluate through both experiments and simulations to show over 80 % PRR even under selective jamming attacks. © 2023 IEEE.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Software > School of Computer Science and Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Paek, Jeong Yeup photo

Paek, Jeong Yeup
소프트웨어대학 (소프트웨어학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE