TY  - CHAP
A1  - Saatjohann, Christoph
A1  - Ising, Fabian
A1  - Krings, Luise
A1  - Schinzel, Sebastian
T1  - STALK: security analysis of smartwatches for kids
T2  - ARES 2020: The 15th International Conference on Availability, Reliability and Security  / Editors: Melanie Volkamer, Christian Wressnegger
N2  - Smart wearable devices become more and more prevalent in the age of the Internet of Things. While people wear them as fitness trackers or full-fledged smartphones, they also come in unique versions as smartwatches for children. These watches allow parents to track the location of their children in real-time and offer a communication channel between parent and child.

In this paper, we analyzed six smartwatches for children and the corresponding backend platforms and applications for security and privacy concerns. We structure our analysis in distinct attacker scenarios and collect and describe related literature outside academic publications. Using a cellular network Man-in-the-Middle setup, reverse engineering, and dynamic analysis, we found several severe security issues, allowing for sensitive data disclosure, complete watch takeover, and illegal remote monitoring functionality.
KW  - Security
KW  - Privacy
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-123548
SN  - 978-1-4503-8833-7
SP  - 1
EP  - 10
ER  - 
TY  - CHAP
A1  - Ebbers, Simon
A1  - Ising, Fabian
A1  - Saatjohann, Christoph
A1  - Schinzel, Sebastian
T1  - Grand Theft App: Digital Forensics of Vehicle Assistant Apps
T2  - ARES 2021: The 16th International Conference on Availability, Reliability and Security
N2  - 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.
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:836-opus-139031
ER  -