@thesis{Korb2021, author = {Korb, Andreas Diemo}, title = {Evaluating approaches for more efficient UDS protocol scanning}, publisher = {Technische Hochschule Ingolstadt}, address = {Ingolstadt}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:573-22554}, pages = {V, 64}, school = {Technische Hochschule Ingolstadt}, year = {2021}, abstract = {Electronic Control Units (ECUs) in cars are the primary target in an attack on a car network. To assess the security of a particular network, a penetration tester must quickly and preferably automatically gather information about them. This can be accomplished by scanning ECUs with diagnostic protocols; most ECUs support at least one. The most widely supported diagnostic protocol is the Unified Diagnostic Services (UDS) protocol. The idea is to send every possible request and evaluate its response. This brute force approach leads to high run times. In this thesis, three approaches were evaluated to reduce the runtime by avoiding requests that are not expected to produce positive responses, namely reusing information within the same service (approach 1), using probabilities of positive answers based on blocks (approach 2) and skipping unsupported services (approach 3). Data from eleven ECUs was collected for analysis. Simulations based on this data were used to determine which exact behavior of each approach produces the best results. They were implemented for the existing UDS Scanner in the Scapy program. Ultimately, the approaches were found to provide high coverages and request savings leading to new runtimes between 10 \% - 30 \% of the original runtimes. Nevertheless, complete coverage cannot be guaranteed.}, language = {en} } @inproceedings{AgrawalSongKohlietal.2022, author = {Agrawal, Shiva and Song, Rui and Kohli, Akhil and Korb, Andreas and Andre, Maximilian and Holzinger, Erik and Elger, Gordon}, title = {Concept of Smart Infrastructure for Connected Vehicle Assist and Traffic Flow Optimization}, booktitle = {Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems}, editor = {Ploeg, Jeroen and Helfert, Markus and Berns, Karsten and Gusikhin, Oleg}, publisher = {SciTePress}, address = {Set{\´u}bal}, isbn = {978-989-758-573-9}, issn = {2184-495X}, doi = {https://doi.org/10.5220/0011068800003191}, pages = {360 -- 367}, year = {2022}, abstract = {The smart infrastructure units can play a vital role to develop smart cities of the future and in assisting automated vehicles on the road by providing extended perception and timely warnings to avoid accidents. This paper focuses on the development of such an infrastructure unit, that is specifically designed for a pedestrian crossing junction. It can control traffic lights at the junction by real-time environment perception through its sensors and can optimize the flow of vehicles and passing vulnerable road users (VRUs). Moreover, it can assist on-road vehicles by providing real-time information and critical warnings via a v2x module. This paper further describes different use-cases of the work, all major hardware components involved in the development of smart infrastructure unit, referred to as an edge, different sensor fusion approaches using the camera, radar, and lidar mounted on the edge for environment perception, various modes of communication including v2x, system design}, language = {en} }