Demo Data from EDBT 2026 / reviewers in the wild / expert
Eliana Rodriguez Herrera
dblp:325/3615
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Wireless sensing and localization · 87% Wireless networking · 13% | |
| Network and information security
1 paper |
Network security · 50% Authentication and access control · 50% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless sensing and localization › tracking
device tracking |
0.6 | 1 | 2022 | Evaluating Physical-Layer BLE Location Tracking Attacks on Mobile Devices · SP 2022 |
Wireless sensing and localization
radio frequency fingerprinting |
0.6 | 1 | 2022 | Evaluating Physical-Layer BLE Location Tracking Attacks on Mobile Devices · SP 2022 |
Authentication and access control
device identification |
0.6 | 1 | 2022 | Evaluating Physical-Layer BLE Location Tracking Attacks on Mobile Devices · SP 2022 |
Network security
traffic analysis |
0.6 | 1 | 2022 | Evaluating Physical-Layer BLE Location Tracking Attacks on Mobile Devices · SP 2022 |
Wireless networking › wireless network protocols
bluetooth low energy |
0.2 | 1 | 2022 | Evaluating Physical-Layer BLE Location Tracking Attacks on Mobile Devices · SP 2022 |
Methods — techniques the papers use, named apart from their topics
field study · 1.1empirical measurement · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Evaluating Physical-Layer BLE Location Tracking Attacks on Mobile DevicesabstractMobile devices increasingly function as wireless tracking beacons. Using the Bluetooth Low Energy (BLE) protocol, mobile devices such as smartphones and smartwatches continuously transmit beacons to inform passive listeners about device locations for applications such as digital contact tracing for COVID-19, and even finding lost devices. These applications use cryptographic anonymity that limit an adversary’s ability to use these beacons to stalk a user. However, attackers can bypass these defenses by fingerprinting the unique physical-layer imperfections in the transmissions of specific devices.We empirically demonstrate that there are several key challenges that can limit an attacker’s ability to find a stable physical layer identifier to uniquely identify mobile devices using BLE, including variations in the hardware design of BLE chipsets, transmission power levels, differences in thermal conditions, and limitations of inexpensive radios that can be widely deployed to capture raw physical-layer signals. We evaluated how much each of these factors limits accurate fingerprinting in a large-scale field study of hundreds of uncontrolled BLE devices, revealing that physical-layer identification is a viable, although sometimes unreliable, way for an attacker to track mobile devices. Hadi Givehchian, Nishant Bhaskar, Eliana Rodriguez Herrera, Héctor Rodrigo López Soto, Christian Dameff, Dinesh Bharadia, Aaron Schulman |
SP | 3 |