Skip to main content
University of Oxford Department of Computer Science
  Contact Us     Search  
  1. Home
  2. About Us
  3. People
  4. Research
  5. Sebastian Köhler
  6. Publications

Sebastian Köhler : Publications

Click here to download all publications in a single bibtex file

@inproceedings{smailes2024sticky,
  title = "Sticky Fingers: Resilience of Satellite Fingerprinting against Jamming Attacks",
  author = "Smailes, Joshua and Salkield, Edd and Köhler, Sebastian and Birnbach, Simon and Strohmeier, Martin and Martinovic, Ivan",
  year = "2024",
  booktitle = "2nd Workshop on Security of Space and Satellite Systems (SpaceSec)",
  location = "San Diego, CA, USA",
  month = "Mar",
  doi = "10.14722/spacesec.2024.23054",
}
@article{smailes2024satiq,
  title = "SatIQ: Extensible and Stable Satellite Authentication using Hardware Fingerprinting",
  author = "Smailes, Joshua and Köhler, Sebastian and Birnbach, Simon and Strohmeier, Martin and Martinovic, Ivan",
  year = "2024",
  journal = "Preprint",
  month = "October",
}
@article{szakaly2023assault,
  title = "Assault and Battery: Evaluating the Security of Power Conversion Systems Against Electromagnetic Injection Attacks",
  author = "Szak{\'a}ly, Marcell and K{\"o}hler, Sebastian and Strohmeier, Martin and Martinovic, Ivan",
  year = "2023",
  journal = "arXiv preprint arXiv:2305.06901",
  month = "May",
  url = "https://arxiv.org/abs/2305.06901",
}
@inproceedings{Salkield23,
  title = "Satellite Spoofing from A to Z: On the Requirements of Satellite Downlink Overshadowing Attacks",
  author = "Salkield, Edd and Szakály, Marcell and Smailes, Joshua and Birnbach, Simon and Köhler, Sebastian and Strohmeier, Martin and Martinovic, Ivan",
  year = "2023",
  booktitle = "Proceedings of the 16th Conference on Security and Privacy in Wireless and Mobile Networks (WiSec)",
  month = "May",
  note = "\textbf{Best Paper Award: Runner Up!}",
  url = "https://ora.ox.ac.uk/objects/uuid:e9d5d85f-b77f-4f11-8006-17dd88660467/download_file?file_format=application%2Fpdf&safe_filename=Salkield_et_al_2023_satellite_spoofing_from.pdf&type_of_work=Conference+item",
}
@article{smailes2023dishing,
  title = "Dishing Out DoS: How to Disable and Secure the Starlink User Terminal",
  author = "Smailes, Joshua and Salkield, Edd and Köhler, Sebastian and Birnbach, Simon and Martinovic, Ivan",
  year = "2023",
  journal = "arXiv preprint arXiv:2303.00582",
  month = "March",
  url = "https://arxiv.org/abs/2303.00582",
}
@inproceedings{salkield2023firefly,
  title = "Firefly: Spoofing Earth Observation Satellite Data Through Radio Overshadowing",
  author = "Salkield, Edd and Birnbach, S and Kohler, S and Baker, Richard and Strohmeier, Martin and Martinovic, Ivan",
  year = "2023",
  booktitle = "Workshop on the Security of Space and Satellite Systems (SpaceSec23)",
  month = "February",
}
@inproceedings{smailes2023watch,
  title = "Watch This Space: Securing Satellite Communication through Resilient Transmitter Fingerprinting",
  author = "Smailes, Joshua and Köhler, Sebastian and Birnbach, Simon and Strohmeier, Martin and Martinovic, Ivan",
  year = "2023",
  booktitle = "Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security (CCS 23)",
  month = "Nov",
  url = "https://arxiv.org/abs/2305.06947",
  doi = "10.1145/3576915.3623135",
}
@inproceedings{15776,
  title = "CableAuth: a biometric second factor authentication scheme for electric vehicle charging",
  author = "Jack Sturgess and Sebastian Köhler and Simon Birnbach and Ivan Martinovic",
  year = "2023",
  booktitle = "Proc. Inaugural Symposium on Vehicle Security and Privacy (VehicleSec 2023)",
  publisher = "Internet Society",
}
@misc{kohler2023brokenwire,
  title = "BROKENWIRE: Wireless Disruption of CCS Electric Vehicle Charging",
  author = "Köhler, Sebastian and Baker, Richard and Strohmeier, Martin and Martinovic, Ivan",
  year = "2023",
  booktitle = "The Network and Distributed System Security Symposium (NDSS)",
  howpublished = "pan> <br /></span> </span> </span> </span></p>
<p>&nbsp;</p>
<h2>Recent Professional Activities</h2>
<ul>
<li>32nd Usenix Security Symposium (<a href="https://www.usenix.org/conference/usenixsecurity23">USENIX '23</a>), TPC member</li>
<li>Journal of Open Avialtion Science (<a href="https://journals.open.tudelft.nl/joas">JOAS</a>), Editor</li>
<li>17th International Conference on Critical Infrastructure Security (<a href="https://critis2022.comtessa.org/">CRITIS 2022</a>),&nbsp; TPC member</li>
<li>8th ACM Cyber-Physical System Security Workshop (<a href="https://illinois.adsc.com.sg/CPSS2022/">CPSS 2022</a>), TPC member</li>
<li>10th OpenSky Symposium (<a href="https://symposium.opensky-network.org">OpenSky 2022</a>), TPC member, Web Chair<br /><br /></li>
<li>1st CYD Campus Conference on Aviation Cyber Security (<a href="https://register.eventmobi.com/aviation/landing">AvCS 2019</a>), General Chair</li>
<li>7th OpenSky Workshop (<a href="https://workshop.opensky-network.org">OpenSky 2019</a>), General Chair</li>
<li>38th Digital Avionics Systems Conference (<a href="http://dasconline.org/">DASC 2019</a>), Co-Chair of Security Track</li>
<li>CPS-IoT Week 2019, <a href="https://competition.opensky-network.org">Aircraft Localization Competition</a>, Organizer</li>
<li>6th OpenSky Workshop (<a href="https://workshop.opensky-network.org/2018">OpenSky 2018</a>), TPC Chair</li>
<li>The 8th ACM Conference on Security and Privacy in Wireless and Mobile Networks (<a href="http://www.sigsac.org/wisec/WiSec2015/">ACM WiSec 2015)</a>, Publication Chair</li>
</ul>
<p>&nbsp;</p>
<p><strong>Previous TPC Memberships</strong> <strong></strong></p>
<p><strong>2021: </strong><a href="http://www.ntms-conf.org/ntms2021/">NTMS</a>, <a href="https://spritz.math.unipd.it/events/2021/CPSS/">CPSS</a>, <a href="https://critis2021.org">CRITIS</a>, <a href="https://symposium.opensky-network.org/2020">OpenSky</a></p>
<p><strong>2020: </strong><a href="https://securecomm.eai-conferences.org/2020/">SECURECOMM</a>, <a href="https://www.nics.uma.es/pub/CPSS2020/">CPSS</a>, <a href="https://www.taltech.ee/en/icr2020">ICR</a>, <a href="https://symposium.opensky-network.org/2020">OpenSky</a></p>
<p><strong>2019: </strong><a href="http://securecomm2019.eai-conferences.org/">SECURECOMM</a>, <a href="https://cyber.bgu.ac.il/esorics_csits2019/">CSITS</a>, <a href="http://jianying.space/cpss/CPSS2019/">CPSS</a>, <a href="http://www.ntms-conf.org/ntms2019/">NTMS</a></p>
<p><strong>2018: </strong><a href="http://securecomm.org/2018/">SECURECOMM</a>, <a href="http://2018.dasconline.org/">DASC</a>, <a href="https://cyber.bgu.ac.il/esorics_csits2018/">CSITS</a>, <a title="SpaCCS 2018" href="http://www.swinflow.org/confs/2018/spaccs">SpaCCS</a>, <a href="http://jianying.space/cpss/CPSS2018/">CPSS</a>, <a href="http://www.ntms-conf.org/ntms2018/">NTMS</a></p>
<p><strong>2017: </strong><a href="http://securecomm.org/2017/">SECURECOMM</a>, <a title="SpaCCS 2017" href="http://trust.gzhu.edu.cn/conference/SpaCCS2017/">SpaCCS</a>, <a href="http://atvs.ii.uam.es/iccst2017/">ICCST</a>, <a href="http://www.acn-conference.org/sscc2017/">SSCC</a>, <a href="http://mykayem.org/IS/submission.html">INT</a><a href="http://mykayem.org/IS/submission.html">RICATE-SEC</a></p>
<p><strong>2016: </strong><a href="http://icsd.i2r.a-star.edu.sg/cpss16/">CPSS</a>, <a href="http://2016.dasconline.org/">DASC</a>, <a href="http://acn-conference.org/sscc2016/">SSCC</a></p>
<p><strong>2015: </strong> <a href="http://globecom2015.ieee-globecom.org">GLOBECOM</a></p>
<p>&nbsp;</p>
<p>&nbsp;</p>",
  isbn = "
",
  issn = "uot;times new roman&quot;; mso-ansi-language: en-gb; mso-fareast-language: en-gb; mso-bidi-language: ar-sa;"> </span></p>",
  key = " solid #6616e8; text-align: left;"><img src="data:image/png;base64,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" alt="" width="233" height="36" /></td>
<td style="border: 1px solid #6616e8; text-align: left;">
<ul>
<li>The Quantum Information Structure of Spacetime</li>
<li>Categorical unification: where foundational physics, natural language and rational processes meet&nbsp;</li>
</ul>
</td>
</tr>
<tr>
<td style="border: 1px solid #6616e8; text-align: left;">
<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <img class="rg_i" style="margin-left: -19px; margin-right: 0px; margin-top: 0px;" src="data:image/jpeg;base64,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" alt="" width="98" height="43" /></p>
</td>
<td style="border: 1px solid #6616e8; text-align: left;">
<ul>
<li>Quantum software, compilers, and circuit optimisation</li>
<li>Automating quantum circuit transformations for optimisation and fault-tolerance&nbsp;</li>
</ul>
</td>
</tr>
</tbody>
</table>",
  keywords = "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" alt="" width="98" height="43" /></p>
</td>
<td style="border: 1px solid #6616e8; text-align: left;">
<ul>
<li>Quantum software, compilers, and circuit optimisation</li>
<li>Automating quantum circuit transformations for optimisation and fault-tolerance&nbsp;</li>
</ul>
</td>
</tr>
</tbody>
</table>",
  language = "SbVWkkUAoBQGHtfZy3ERiZpEBIOYnKNoc6MuorpSqOnLWST71kw1lYNB+QcP6Rf/AN6l/wB6le0J9mPyo06Ncx+QcP6Rf/3qX/entCfZj8qHRLmx+QcP6Rf/AN6l/wB6e0KnZj8qHRLmzVXu7ltGskjXV8kMJ+NdrqUnTGVVAc6/O9fDnIYbwu61WShGMcv/AMow4RistkA3u34e5UwW4MNoNOEHxyesjZzg+WddclulxZ6OhR9+e2Xku71IFa5ctkdiNp2RbeuRcpaKeOBgzFWP5sKM8SHoM4HDy16amuWlbek6bqvZL69/qb2lWetq8DTb8brXFvdSnu3eKR2dHVSwIck8JI5MCcYPPnUiyu6dSkllJpYa7jlXoyjJvGwkvZ1sS6tILq97oiTuSIY5AQWx42JXnjwjA0J15c6h39elWnCjnZna1w4f7O9vTlCLnggO0Nu3E8wuJJnMoOUYHHB6IB7I9318zVrTt6dOHRxjs+vfzIkqs5S1mybbC3kjvykF08sNyThJoHeNZjoOGVYyPEcDxemmORqbizlbZqUcNcU0njuz+d5MpV1UxGW8mVludC/Epnv1dCAw+FyEAkZ0YHXTXodRkDIqu9oT7MflRK6NczIk3GgUZNzfAet3IP8AOntCp2Y/Kh0a5nF9ybcc7q9Hvu5Bz5fKrPtCp2Y/KjHRrmfU3Ht2GRc3pHmLuQ/51jr8+zH5UOjXM4LuZbHld3hwM6XknLz9qs9fqdmPyodGuZ9/Iu2xn4Xe4zjPwyTGfLPFTr9Tsx+VGejXM+jcm2xxfCr3h8/hkmPt4qx1+p2Y/Kh0a5nE7mWwwTd3mvL+eSa/tVn2hU7MflRjo1zObbkW4GTdXwHn8Lkx9vFWPaE+zH5UZ6Nczi25lsACbu9weR+GSa+7xVnr9Tsx+VGOjXM+fkba/pd5/fJOvL5VY6/U7MflQ6Ncz6dy7YAZu73B5fzyTX3eLWs+0KnZj8qHRrmPyLts4+F3ueWPhkmc+WOKsdfqdmPyodGuZ9k3It19q6vRnzu5B/qrPtCfZj8qM9GuZ8bcu2Bwbu9B8jeSZ19OKntCp2Y/KjHRrmcn3Jt1wDdXozyzdyDP7VY9oVOzH5UOjXMNuTbg4N1egnkDdyZ+zip7Qn2Y/Kh0a5nFtzLYc7u8HvvJOnP5VOvz7MflQ6Ncz6u5Nuc4ur04GTi8k0HmfFT2hU7MflRno1zOP5HWv6Xef3yT+KnX6nZj8qMdGuYbc22HO7vB/wDuSe751Z6/U7MflQ6Ncz6dy7YDJu73HLPwyTn5Z4udY6/Psx+VDo1zOT7kW4GTdXoHmbuTH25p1+fZj8qHRrmcfyMtsZ+F3mOWfhkmPt4qz1+p2Y/Kh0a5j8jLbAPwu8weX88k1/a1p1+p2Y/Kh0a5g7l2wOPhd7ny+GSZ+zip1+p2Y/Kh0a5nL8iLfUfCr3I5/wA7k09/i0rHX59mPyoz0a5nyPcm2b2bq9PuvJD/AKqz1+p2Y/Kh0a5nwbl2x5Xd6en9Mk5np7VY6/Psx+VGOjXM2mw93YraRmSa4diuCs07SAAkHIVjodOfvrlWuZVVhpLuSRtGCTN5UY3FAKAUAoBQCgFAYt3ZB/EDwvjHFjOR81l+UvofPTB1oCrd7uzoOS9qojm1Jgz4JMczAx0B/qHl6DBN3Z6Va9yt4+pCrWie2HgZPYzsYxfCbiZShB7kcY4SoXxSZzy1K/drOl66nqU4vPH0+4tKermTOG+vajgmKwIOPanIyPdGp0P0jp5edZs9FZ96v4evoYrXeNkPE3m4/aHFd8MM/DFcHQfMk+gTyP8AVP1ZqLeaNnR9+G2Pmu/1OtG4VTY95XO0tx5ztCa2gTwK3EHOiJE/iUs3oNMczwmrinf01bxqTe3zbRDlbydRxRZO525sVsuY/E5GGuCMM3msI/4af1uZ6Z0Iobu+qXDw9keXrzJ9KhGnu3kzghVFCqAAOg/E+pzrmoR2I3vbC08kcAjeRAryOFwNcFI9WIGjEnGc6Cso0lt2Giue8mwWjJfu7ZGDKcF0nZWB05aZPoayaPLN/u/alJrsNGkZ4Y/DEMR+y+o0GW89PKsM3isNmkttlstnC7RxFMxFwkJ7zg41LBzklxpqMdKzxNEvdR9vrdZJs28K90ZIBgxsqM473iyvDywRk4oHv2BbQJPmeFREtweNI4y0QzbgIwXh11zk45mgxh7T5KkPfKyRiOHhlx30DyKSXXVYxgqDrjlyOmtBsybvbap/M2dOKBSeICMlRmPCEx4JAzyGNKwjd8DSQ2BkuF7qNBE0s7RiWElAvdwAngOMAsGxy5GsmmMvYbKy2QxuJjwW+EMQOYPmxJnujxeAZ5DXBpk2S2mr2VHCqfzqFmDW0YjBiZjpx8SqeE8LZx5cxQ1WOPIydjIguG4lVCZY+BZYGdwO7iAAmzhSCMZOcEE0ZlbzN2osIubg3MfGGiQRExFxoH4gpCnhPER5dKcDLxl5MPdzZUjSZdIsolvxd9EWbSMZCMSOEjHrrijZiKZ2b0wL38rEAkwKAskDSK2C+kboco2Tr7waIS3nREsIEwuLd2lZ0KKEYvw8EfCqS40wQRzHI0Gzbk6e7AlBkVAM3H52BpRk3BI8I5HGuf8AehjjtPs1uyNcXEakrxd06qhHFDJBEFZU/qvjT3jpQbssz9nbKjMtlxQprbEuSg9sCLBbT2hrjOtMmyisow9k7MeR4xwRaW+vfxFx+el0AyMGhhLJ9s4o1mDXEZMWbkLxRlwHM+QcBTgleRxQLGdvxM+/gDWMCxRMF76PhjlBOnefKGpCnn6A04mX+nYai8sykpDxxIBPGSEiZ4gO5k8XAAC2vPlrihq1tO2+hjzxARkGDhANo/dth5MrGA3FG+Tr55BoHj8Ry2SUWZmlSNDxREK9u8jDEUeiy58OCMa5wRmjMrftOEIlBadoZF+ErMrk4IPGpaEcIPEMBeHUD2qGNu/mdFzs2QRRYhRS1pJgwqeJ/DGSJfCNSM6a65pkYeP4M3aawOP5rCyt8VlxEyoPjkwGTA4mHPPkDrTaZeOButlwyi9lMpVj3EeGRCoxxyaYLHX6+orD3GyzrbSQ1g3FAKAUAoBQCgFAKA67iBXHCwyP3HoQRqCOhGooCPbz7I7+3aCd3ER1EyHBUjl3qjRl9eXnjHFXe2uHQqKaWTSpBTjgo/efdmexfhlGUPsSL7Dj0PQ46HX3869XbXVO4jmG/iuKKmrRlTe02W6O5Ul1iWUmG2z7ePFIfmxLzY+uPdmo95pCFD3Vtly5d/odKNvKe17EXfZ2BKqsnF3agBY2biJ4RoZXJPG3pkjPnoR5eUtZtstEsG0rUyKAUAoBQCgFAKAUAoBQCgFAKAUAoBQCgFAKAUAoBQCgFAKAUAoBQCgFAKAUAoBQCgFAKAUAoBQCgNTf7JUoUCRyRH2oZR4M50KnB4NemCPLByTtCcoPWi8Mw0msMyrSx4SGbDOBgYGFQfNRfkj8T1OgA1zkyZlAKAUAoBQCgFAKAUAoBQCgFAKAUAoBQCgFAKAUAoBQCgFAKAUAoBQCgFAKAUB//9k=" alt="" width="98" height="43" /></p>
</td>
<td style="border: 1px solid #6616e8; text-align: left;">
<ul>
<li>Quantum software, compilers, and circuit optimisation</li>
<li>Automating quantum circuit transformations for optimisation and fault-tolerance&nbsp;</li>
</ul>
</td>
</tr>
</tbody>
</table>",
}
@inproceedings{15673,
  title = "On the security of the wireless electric vehicle charging communication",
  author = "Sebastian Köhler and Simon Birnbach and Richard Baker and Ivan Martinovic",
  year = "2022",
  booktitle = "Proc. Workshop Cybersecurity of Electric Vehicle Charging and Smart Grid Resources (SECEVC)",
  publisher = "IEEE",
}
@inproceedings{14803,
  title = "Signal injection attacks against CCD image sensors",
  author = "Sebastian Kohler and Richard Baker and Ivan Martinovic",
  year = "2022",
  booktitle = "Proc. 2022 ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS 2022)",
  publisher = "ACM",
}
@inproceedings{14805,
  title = "They see me rollin': inherent vulnerability of the rolling shutter in CMOS image sensors",
  author = "Sebastian Köhler and Giulio Lovisotto and Simon Birnbach and Richard Baker and Ivan Martinovic",
  year = "2021",
  booktitle = "Proc. Annual Computer Security Applications Conference (ACSAC 2021)",
  publisher = "ACM",
  doi = "10.1145/3485832.3488016",
}

About Us

Back to Top