activity
20132023
most citedDistributed Deep Learning Models for Wireless Signal Classification with Low-Cost Spectrum Sensors

863 citations · 1.6k across the 22 of their papers we have counts for

collaborators

23 papers

eess.AS2023

Lessons Learned in ATCO2: 5000 hours of Air Traffic Control Communications for Robust Automatic Speech Recognition and Understanding

Juan Zuluaga-Gomez, Iuliia Nigmatulina, Amrutha Prasad +8

Voice communication between air traffic controllers (ATCos) and pilots is critical for ensuring safe and efficient air traffic control (ATC). This task requires high levels of awar…

cs.NI2023★ 6 cited

FABRID: Flexible Attestation-Based Routing for Inter-Domain Networks

Cyrill Krähenbühl, Marc Wyss, David Basin +3

In its current state, the Internet does not provide end users with transparency and control regarding on-path forwarding devices. In particular, the lack of network device informat…

cs.NI2022★ 1 cited

Improving Aircraft Localization: Experiences and Lessons Learned from an Open Competition

Martin Strohmeier, Mauro Leonardi, Sergei Markochev +3

Knowledge about the exact positioning of aircraft is crucial in many settings. Consequently, the opportunistic and independent localization of aircraft based on their communication…

cs.NI2021★ 16 cited

5G System Security Analysis

Gerrit Holtrup, William Lacube, Dimitri Percia David +3

Fifth generation mobile networks (5G) are currently being deployed by mobile operators around the globe. 5G acts as an enabler for various use cases and also improves the security…

cs.CR2021★ 1 cited

Blockchain in Cyberdefence: A Technology Review from a Swiss Perspective

Luca Gambazzi, Patrick Schaller, Alain Mermoud +1

Since the advent of bitcoin in 2008, the concept of a blockchain has widely spread. Besides crypto currencies and trading activities, there is a wide range of potential application…

cs.NI2020

LocaRDS: A Localization Reference Data Set

Matthias Schäfer, Martin Strohmeier, Mauro Leonardi +1

The use of wireless signals for purposes of localization enables a host of applications relating to the determination and verification of the positions of network participants, ran…

cs.CR2020★ 1 cited

Understanding Realistic Attacks on Airborne Collision Avoidance Systems

Matthew Smith, Martin Strohmeier, Vincent Lenders +1

Airborne collision avoidance systems provide an onboard safety net should normal air traffic control procedures fail to keep aircraft separated. These systems are widely deployed a…

cs.CR2020★ 12 cited

Contact Tracing: An Overview of Technologies and Cyber Risks

Franck Legendre, Mathias Humbert, Alain Mermoud +1

The 2020 COVID-19 pandemic has led to a global lockdown with severe health and economical consequences. As a result, authorities around the globe have expressed their needs for bet…

cs.CR2020★ 6 cited

QPEP: A QUIC-Based Approach to Encrypted Performance Enhancing Proxies for High-Latency Satellite Broadband

James Pavur, Martin Strohmeier, Vincent Lenders +1

Satellite broadband services are critical infrastructures enabling advanced technologies to function in the most remote regions of the globe. However, status-quo services are often…

cs.LG2019★ 1 cited

Classi-Fly: Inferring Aircraft Categories from Open Data using Machine Learning

Martin Strohmeier, Matthew Smith, Vincent Lenders +1

In recent years, air traffic communication data has become easy to access, enabling novel research in many fields. Exploiting this new data source, a wide range of applications hav…

cs.CR2019★ 4 cited

Safety vs. Security: Attacking Avionic Systems with Humans in the Loop

Matthew Smith, Martin Strohmeier, Jon Harman +2

Many wireless communications systems found in aircraft lack standard security mechanisms, leaving them fundamentally vulnerable to attack. With affordable software-defined radios a…

eess.SP2019

Crowdsourced wireless spectrum anomaly detection

Sreeraj Rajendran, Vincent Lenders, Wannes Meert +1

Automated wireless spectrum monitoring across frequency, time and space will be essential for many future applications. Manual and fine-grained spectrum analysis is becoming imposs…

cs.NI2018

Electrosense+: Crowdsourcing Radio Spectrum Decoding using IoT Receivers

Roberto Calvo-Palomino, Héctor Cordobés, Markus Engel +9

Web spectrum monitoring systems based on crowdsourcing have recently gained popularity. These systems are however limited to applications of interest for governamental organization…

eess.SP2018★ 5 cited

SAIFE: Unsupervised Wireless Spectrum Anomaly Detection with Interpretable Features

Sreeraj Rajendran, Wannes Meert, Vincent Lenders +1

Detecting anomalous behavior in wireless spectrum is a demanding task due to the sheer complexity of the electromagnetic spectrum use. Wireless spectrum anomalies can take a wide r…

eess.SP2018★ 4 cited

Nanosecond-precision Time-of-Arrival Estimation for Aircraft Signals with low-cost SDR Receivers

Roberto Calvo-Palomino, Fabio Ricciato, Blaz Repas +2

Precise Time-of-Arrival (TOA) estimations of aircraft and drone signals are important for a wide set of applications including aircraft/drone tracking, air traffic data verificatio…

cs.NI2017★ 863 cited

Distributed Deep Learning Models for Wireless Signal Classification with Low-Cost Spectrum Sensors

Sreeraj Rajendran, Wannes Meert, Domenico Giustiniano +2

This paper looks into the technology classification problem for a distributed wireless spectrum sensing network. First, a new data-driven model for Automatic Modulation Classificat…

cs.CR2017★ 5 cited

Analyzing Privacy Breaches in the Aircraft Communications Addressing and Reporting System (ACARS)

Matthew Smith, Daniel Moser, Martin Strohmeier +2

The manner in which Aircraft Communications, Addressing and Reporting System (ACARS) is being used has significantly changed over time. Whilst originally used by commercial airline…

cs.NI2017★ 176 cited

Electrosense: Open and Big Spectrum Data

Sreeraj Rajendran, Roberto Calvo-Palomino, Markus Fuchs +5

While the radio spectrum allocation is well regulated, there is little knowledge about its actual utilization over time and space. This limitation hinders taking effective actions…

cs.NI2016★ 8 cited

A Localization Approach for Crowdsourced Air Traffic Communication Networks

Martin Strohmeier, Vincent Lenders, Ivan Martinovic

In this work, we argue that current state-of-the-art methods of aircraft localization such as multilateration are insufficient, in particular for modern crowdsourced air traffic ne…

cs.CR2016★ 103 cited

On Perception and Reality in Wireless Air Traffic Communications Security

Martin Strohmeier, Matthias Schäfer, Rui Pinheiro +2

More than a dozen wireless technologies are used by air traffic communication systems during different flight phases. From a conceptual perspective, all of them are insecure as sec…

cs.NI2013★ 35 cited

An Analytical Model of Packet Collisions in IEEE 802.15.4 Wireless Networks

Matthias Wilhelm, Vincent Lenders, Jens B. Schmitt

Numerous studies showed that concurrent transmissions can boost wireless network performance despite collisions. While these works provide empirical evidence that concurrent transm…

cs.CR2013★ 302 cited

On the Security of the Automatic Dependent Surveillance-Broadcast Protocol

Martin Strohmeier, Vincent Lenders, Ivan Martinovic

Automatic dependent surveillance-broadcast (ADS-B) is the communications protocol currently being rolled out as part of next generation air transportation systems. As the heart of…

cs.NI2013★ 3 cited

Air Dominance in Sensor Networks: Guarding Sensor Motes using Selective Interference

Matthias Wilhelm, Ivan Martinovic, Jens B. Schmitt +1

Securing wireless sensor networks (WSNs) is a hard problem. In particular, network access control is notoriously difficult to achieve due to the inherent broadcast characteristics…