Location Privacy Issues in the OpenSky Network Crowdsourcing Platform

OpenSky Network leverages the freely accessible data generated by the aircraft through the Automatic Dependent Surveillance - Broadcast (ADS-B) technology to create a participatory global open-access network where individuals, industries, and academia can freely contribute and obtain data. Indeed, avionic data are acquired through on-ground general purpose antennas, installed and operated in adequate locations, and later delivered to the OpenSky Network community.

[1]  Ivan Martinovic,et al.  The Real First Class? Inferring Confidential Corporate Mergers and Government Relations from Air Traffic Communication , 2018, 2018 IEEE European Symposium on Security and Privacy (EuroS&P).

[2]  Ivan Martinovic,et al.  A k-NN-Based Localization Approach for Crowdsourced Air Traffic Communication Networks , 2018, IEEE Transactions on Aerospace and Electronic Systems.

[3]  Ivan Martinovic,et al.  OpenSky: A swiss army knife for air traffic security research , 2015, 2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC).

[4]  Roberto Di Pietro,et al.  SOS - Securing Open Skies , 2018, SpaCCS.

[5]  Ahmed Abdel Wahab El Marady.  Enhancing accuracy and security of ADS-B via MLAT assisted-flight information system , 2017, 2017 12th International Conference on Computer Engineering and Systems (ICCES).

[6]  Ivan Martinovic,et al.  Lightweight Location Verification in Air Traffic Surveillance Networks , 2015, CPSS@ASIACSS.

[7]  Roberto Di Pietro,et al.  Reliability of ADS-B communications: novel insights based on an experimental assessment , 2019, SAC.

[8]  Ivan Martinovic,et al.  Bringing up OpenSky: A large-scale ADS-B sensor network for research , 2014, IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks.

[9]  Miguel A. Martínez-Prieto,et al.  Integrating flight-related information into a (Big) data lake , 2017, 2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC).

[10]  Ivan Martinovic,et al.  Secure Location Verification with a Mobile Receiver , 2016, CPS-SPC '16.

[11]  Trevor Hastie,et al.  An Introduction to Statistical Learning , 2013, Springer Texts in Statistics.

[12]  Ivan Martinovic,et al.  On the Security of the Automatic Dependent Surveillance-Broadcast Protocol , 2013, IEEE Communications Surveys & Tutorials.

[13]  John Olusegun Ogundare.  Understanding Least Squares Estimation and Geomatics Data Analysis , 2018 .

[14]  Rui Pinheiro,et al.  Monitoring Meteorological Parameters with Crowdsourced Air Traffic Control Data , 2018, 2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).

[15]  Gennaro Boggia,et al.  Tracing a Linearly Moving Node From Asynchronous Time-of-Arrival Measurements , 2016, IEEE Communications Letters.

[16]  Gennaro Boggia,et al.  Position and Velocity Estimation of a Non-Cooperative Source From Asynchronous Packet Arrival Time Measurements , 2018, IEEE Transactions on Mobile Computing.

[17]  Ivan Martinovic,et al.  OpenSky Report 2018: Assessing the Integrity of Crowdsourced Mode S and ADS-B Data , 2018, 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC).

[18]  Duminda Wijesekera,et al.  ADS-Bsec: A Holistic Framework to Secure ADS-B , 2018, IEEE Transactions on Intelligent Vehicles.

[19]  Ivan Martinovic,et al.  Utilizing air traffic communications for OSINT on state and government aircraft , 2018, 2018 10th International Conference on Cyber Conflict (CyCon).

[20]  Rui Pinheiro,et al.  On Perception and Reality in Wireless Air Traffic Communication Security , 2016, IEEE Transactions on Intelligent Transportation Systems.

[21]  Fabio Ricciato,et al.  Nanosecond-Precision Time-of-Arrival Estimation for Aircraft Signals with Low-Cost SDR Receivers , 2018, 2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).

[22]  Sungchul Lee,et al.  ADS-B vulnerabilities and a security solution with a timestamp , 2017, IEEE Aerospace and Electronic Systems Magazine.