@inproceedings{PuschnerSaatjohannWillingetal.2021, author = {Puschner, Endres and Saatjohann, Christoph and Willing, Markus and Dresen, Christian and K{\"o}be, Julia and Rath, Benjamin and Paar, Christof and Eckardt, Lars and Haverkamp, Uwe and Schinzel, Sebastian}, title = {Listen to Your Heart: Evaluation of the Cardiologic Ecosystem}, series = {ARES 2021: The 16th International Conference on Availability, Reliability and Security}, booktitle = {ARES 2021: The 16th International Conference on Availability, Reliability and Security}, doi = {10.1145/3465481.3465753}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-139012}, year = {2021}, abstract = {Modern implantable cardiologic devices communicate via radio frequency techniques and nearby gateways to a backend server on the internet. Those implanted devices, gateways, and servers form an ecosystem of proprietary hardware and protocols that process sensitive medical data and is often vital for patients' health. This paper analyzes the security of this Ecosystem, from technical gateway aspects, via the programmer, to configure the implanted device, up to the processing of personal medical data from large cardiological device producers. Based on a real-world attacker model, we evaluated different devices and found several severe vulnerabilities. Furthermore, we could purchase a fully functional programmer for implantable cardiological devices, allowing us to re-program such devices or even induce electric shocks on untampered implanted devices. Additionally, we sent several Art. 15 and Art. 20 GDPR inquiries to manufacturers of implantable cardiologic devices, revealing non-conforming processes and a lack of awareness about patients' rights and companies' obligations. This, and the fact that many vulnerabilities are still to be found after many vulnerability disclosures in recent years, present a worrying security state of the whole ecosystem.}, language = {en} } @inproceedings{EbbersIsingSaatjohannetal.2021, author = {Ebbers, Simon and Ising, Fabian and Saatjohann, Christoph and Schinzel, Sebastian}, title = {Grand Theft App: Digital Forensics of Vehicle Assistant Apps}, series = {ARES 2021: The 16th International Conference on Availability, Reliability and Security}, booktitle = {ARES 2021: The 16th International Conference on Availability, Reliability and Security}, doi = {10.1145/3465481.3465754}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:836-opus-139031}, year = {2021}, abstract = {Due to the increasing connectivity of modern vehicles, collected data is no longer only stored in the vehicle itself but also transmitted to car manufacturers and vehicle assistant apps. This development opens up new possibilities for digital forensics in criminal investigations involving modern vehicles. This paper deals with the digital forensic analysis of vehicle assistant apps of eight car manufacturers. We reconstruct the driver's activities based on the data stored on the smartphones and in the manufacturer's backend. For this purpose, data of the Android and iOS apps of the car manufacturers Audi, BMW, Ford, Mercedes, Opel, Seat, Tesla, and Volkswagen were extracted from the smartphone and examined using digital forensic methods following forensics guidelines. Additionally, manufacturer data was retrieved using Subject Access Requests. Using the extensive data gathered, we reconstruct trips and refueling processes, determine parking positions and duration, and track the locking and unlocking of the vehicle. Our findings show that the digital forensic investigation of smartphone applications is a useful addition to vehicle forensics and should therefore be taken into account in the strategic preparation of future digital forensic investigations.}, language = {en} }