Fingerprinting Bluetooth-Low-Energy Devices Based on the Generic Attribute Profile

Guillaume Celosia 1, 2 Mathieu Cunche 2, 1
1 PRIVATICS - Privacy Models, Architectures and Tools for the Information Society
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
2 CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Document type :
Conference papers
Complete list of metadatas
https://hal.inria.fr/hal-02359914
Contributor : Mathieu Cunche <>
Submitted on : Tuesday, November 12, 2019 - 3:43:55 PM
Last modification on : Monday, December 9, 2019 - 1:31:54 PM

Identifiers

Collections

INSA-LYON | INRIA | INSA-GROUPE | CITI | UDL | CHAIRE-IOT-SPIE-INSA

Citation

Guillaume Celosia, Mathieu Cunche. Fingerprinting Bluetooth-Low-Energy Devices Based on the Generic Attribute Profile. IoT S&P 2019 - 2nd International ACM Workshop on Security and Privacy for the Internet-of-Things, Nov 2019, London, United Kingdom. pp.24-31, ⟨10.1145/3338507.3358617⟩. ⟨hal-02359914⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

26

 

 

Contact

archive-ouverte@inria.fr