Heinrich, Alexander ; Stute, Milan ; Hollick, Matthias (2021)
DEMO: BTLEmap: Nmap for Bluetooth Low Energy.
WiSec '20: 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks. Linz, Österreich (08.-10.07.2020)
doi: 10.26083/tuprints-00017839
Conference or Workshop Item, Secondary publication, Postprint
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Item Type: | Conference or Workshop Item |
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Type of entry: | Secondary publication |
Title: | DEMO: BTLEmap: Nmap for Bluetooth Low Energy |
Language: | English |
Date: | 2021 |
Place of Publication: | New York, NY |
Year of primary publication: | 2020 |
Publisher: | Association for Computing Machinery (ACM) |
Book Title: | Proceedings of the 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec '20) |
Collation: | 3 Seiten |
Event Title: | WiSec '20: 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks |
Event Location: | Linz, Österreich |
Event Dates: | 08.-10.07.2020 |
DOI: | 10.26083/tuprints-00017839 |
Corresponding Links: | |
Origin: | Secondary publication service |
Abstract: | The market for Bluetooth Low Energy (BLE) devices is booming and, at the same time, has become an attractive target for adversaries. To improve BLE security at large, we present BTLEmap, an auditing application for BLE environments. BTLEmap is inspired by network discovery and security auditing tools such as Nmap for IP-based networks. It allows for device enumeration, Generic Attribute Profile (GATT) service discovery, and device fingerprinting. It also features a BLE advertisement dissector, data exporter, and a user-friendly UI including a proximity view. BTLEmap currently runs on iOS and macOS using Apple's CoreBluetooth API but also accepts alternative data inputs such as a Raspberry Pi to overcome the restricted vendor API. The open-source project is under active development and will provide more advanced capabilities such as long-term device tracking (in spite of MAC address randomization) in the future. |
Status: | Postprint |
URN: | urn:nbn:de:tuda-tuprints-178396 |
Classification DDC: | 000 Generalities, computers, information > 004 Computer science |
Divisions: | 20 Department of Computer Science > Sichere Mobile Netze Profile Areas > Cybersecurity (CYSEC) LOEWE > LOEWE-Zentren > emergenCITY |
TU-Projects: | HMWK|III L6-519/03/05.001-(0016)|emergenCity TP Bock |
Date Deposited: | 07 Apr 2021 07:43 |
Last Modified: | 28 Jul 2023 10:15 |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/17839 |
PPN: | 47885241X |
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