Matt Smith
Dr Matthew Smith
Department of Computer Science,
Robert Hooke Building
Directions Postal Address
Themes:
Interests
My work focuses on the security of air-to-ground communications systems and protocols in use for aviation. It takes a long time to develop technologies used in civil aviation; once a product is built and tested, it has to be certified and integrated before it makes its way onto an aircraft. Since most of the systems in use today were not designed with security in mind - or before attacks became feasible - they have a wide install base but rarely have any security provision in place. Rolling out patches or upgrades is equally as difficult as deploying new systems, which means that security solutions have to avoid replacing the original system whilst still trying to fix the problem.
I am part of the System Security Lab under Ivan Martinovic, which looks at a range of topics from biometric authentication to wireless security.
Activities
2019
Paper accepted to NDSS 2020 - A View from the Cockpit: Exploring Pilot Reactions to Attacks on Avionic Systems [PDF coming soon]
Thesis online! Measuring Operational Realities of Security and Privacy for Deployed Avionics [ORA] [PDF]
2018
Privacy Enhancing Technologies Symposium (Barcelona) - July 23-27 - Undermining Privacy in the Aircraft Communications Addressing and Reporting System (ACARS) [YouTube] [Paper]
Real World Crypto (Zurich) - January 10-12 - Modern jets, retro ciphers: how monoalphabetic substitution ciphers are still in use [YouTube] [Slides]
2017
Oxford Computer Science Conference (Oxford) - June 9 - Exploring Weak Ciphers Usage in Business Aircraft Communications
Financial Cryptography and Data Security (Malta) - April 3-7 - Economy Class Crypto: Exploring Weak Cipher Usage in Avionic Communications via ACARS [Paper]
2016
OpenSky Workshop (Oxford) - November 24-25 -Investigating Security & Privacy in ACARS - the Frankenstein of Avionic Communications [Link]
Integrated Communications, Navigations and Surveillance (Washington D.C.) - April 19-21 - On the Security and Privacy of ACARS
Biography
I am currently a member of the Centre for Doctoral Training in Cyber Security, which is within the Computer Science Department. Before starting at Oxford, I did an Undergraduate Masters in Computer Science at the University of Warwick.
If you want to contact me using PGP you can find my keys on mit.pgp.edu with the ID 0x1B53AF07 and fingerprint 6F11 0234 64EC 6FCA FD36 C393 4D69 E423 1B53 AF07
Selected Publications
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A View from the Cockpit: Exploring Pilot Reactions to Attacks on Avionic Systems
Matthew Smith‚ Martin Strohmeier‚ Jon Harman‚ Vincent Lenders and Ivan Martinovic
In The Network and Distributed System Security Symposium (NDSS). February, 2020.
Details about A View from the Cockpit: Exploring Pilot Reactions to Attacks on Avionic Systems | BibTeX data for A View from the Cockpit: Exploring Pilot Reactions to Attacks on Avionic Systems | Download (pdf) of A View from the Cockpit: Exploring Pilot Reactions to Attacks on Avionic Systems | Link to A View from the Cockpit: Exploring Pilot Reactions to Attacks on Avionic Systems
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OpenSky Report 2019: Analysing TCAS in the Real World using Big Data
Matthias Schäfer‚ Xavier Olive‚ Martin Strohmeier‚ Matthew Smith‚ Ivan Martinovic and Vincent Lenders
In 2019 IEEE/AIAA 38th Digital Avionics Systems Conference (DASC). Pages 1–9. IEEE. September, 2019.
Details about OpenSky Report 2019: Analysing TCAS in the Real World using Big Data | BibTeX data for OpenSky Report 2019: Analysing TCAS in the Real World using Big Data | Download (pdf) of OpenSky Report 2019: Analysing TCAS in the Real World using Big Data | DOI (10.1109/DASC43569.2019.9081686) | Link to OpenSky Report 2019: Analysing TCAS in the Real World using Big Data
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Classi−Fly: Inferring Aircraft Categories from Open Data
Martin Strohmeier‚ Matthew Smith‚ Vincent Lenders and Ivan Martinovic
In arXiv preprint arXiv:1908.01061. August, 2019.
Details about Classi−Fly: Inferring Aircraft Categories from Open Data | BibTeX data for Classi−Fly: Inferring Aircraft Categories from Open Data | Link to Classi−Fly: Inferring Aircraft Categories from Open Data