@article{KahlKrauseHackenbergetal., author = {Kahl, Matthias and Krause, Veronika and Hackenberg, Rudolf and Ul Haq, Anwar and Horn, Anton and Jacobsen, Hans-Arno and Kriechbaumer, Thomas and Petzenhauser, Michael and Shamonin (Chamonine), Mikhail and Udalzow, Anton}, title = {Measurement system and dataset for in-depth analysis of appliance energy consumption in industrial environment}, series = {tm - Technisches Messen}, volume = {86}, journal = {tm - Technisches Messen}, number = {1}, publisher = {De Gruyter}, doi = {10.1515/teme-2018-0038}, pages = {1 -- 13}, abstract = {To support a rational and efficient use of electrical energy in residential and industrial environments, Non-Intrusive Load Monitoring (NILM) provides several techniques to identify state and power consumption profiles of connected appliances. Design requirements for such systems include a low hardware and installations costs for residential, reliability and high-availability for industrial purposes, while keeping invasive interventions into the electrical infrastructure to a minimum. This work introduces a reference hardware setup that allows an in depth analysis of electrical energy consumption in industrial environments. To identify appliances and their consumption profile, appropriate identification algorithms are developed by the NILM community. To enable an evaluation of these algorithms on industrial appliances, we introduce the Laboratory-measured IndustriaL Appliance Characteristics (LILAC) dataset: 1302 measurements from one, two, and three concurrently running appliances of 15 appliance types, measured with the introduced testbed. To allow in-depth appliance consumption analysis, measurements were carried out with a sampling rate of 50 kHz and 16-bit amplitude resolution for voltage and current signals. We show in experiments that signal signatures, contained in the measurement data, allows one to distinguish the single measured electrical appliances with a baseline machine learning approach of nearly 100\% accuracy.}, language = {en} } @misc{Weiss, author = {Weiss, Nils}, title = {Vulnerabilities of Connected Cars and beyond}, series = {Applied Research Colloquium, 2019, Universit{\`a} Padua, Italy}, journal = {Applied Research Colloquium, 2019, Universit{\`a} Padua, Italy}, language = {en} } @inproceedings{WeissSchroetterHackenberg, author = {Weiss, Nils and Schr{\"o}tter, Markus and Hackenberg, Rudolf}, title = {On Threat Analysis and Risk Estimation of Automotive Ransomware}, series = {ACM Computer Science in Cars Symposium : [CSCS '19) 08.10.2019, Kaiserslautern, Germany}, booktitle = {ACM Computer Science in Cars Symposium : [CSCS '19) 08.10.2019, Kaiserslautern, Germany}, editor = {Hof, Hans-Joachim and Fritz, Mario and Krauß, Christoph and Wasenm{\"u}ller, Oliver}, publisher = {ACM}, address = {New York, NY, USA}, isbn = {9781450370042}, doi = {10.1145/3359999.3360492}, pages = {1 -- 9}, language = {en} } @inproceedings{NeubauerFischerHackenberg, author = {Neubauer, Katrin and Fischer, Sebastian and Hackenberg, Rudolf}, title = {Work in Progress: Security Analysis for Safety-critical Systems}, series = {ARCS Workshop 2019; 32nd International Conference on Architecture of Computing Systems, May 2019, Copenhagen, Denmark, Workshop FORMUS³IC}, booktitle = {ARCS Workshop 2019; 32nd International Conference on Architecture of Computing Systems, May 2019, Copenhagen, Denmark, Workshop FORMUS³IC}, editor = {Trinitis, Carsten and Pionteck, Thilo}, publisher = {VDE Verlag GmbH}, address = {Berlin}, isbn = {978-3-8007-4957-7}, pages = {101 -- 106}, abstract = {Internet of Thing (IoT) and Smart Grid (SG) are separate technologies. The digital transformation of the energy industry and the increasing digitalization in the private sector connect these technologies. Currently in Germany, the SG is under construction. In order to use future innovative services, SG and IoT must be combined. For this, we connect the SG Infrastructure with the IoT. A potential insecure device and network (IoT) should be able to transfer data to and from a critical infrastructure (SG). Open research question in this context are the security requirements architecture SG and IoT and the mechanism for authentication and authorisation in future application (SG and IoT). Due to the increasing networking of the systems (SG and IoT) new threats and attack vectors arise. The attacks to the architecture influence the target of authenticity, security and privacy. For the security analysis we focus on two communication points: the communication between the smart meter gateway, and the IoT device. In our example, a connected charging station with cloud services is connected with a SG infrastructure. To create a really smart service, the charging station needs a connection to the SG to get the current amount of renewable energy in the grid. With this two connections, new threats emerge. A security analysis over all the connections, including the vulnerability and the ability of an attacker, is developed in this paper. The analysis shows us challenges of the communication between IoT and SG. For this, we defined technical and organizational requirements for authentication and authorization. Current authentication and authorization mechanisms are no longer sufficient for the defined requirements. We present the Role-based trust model for Safety-critical Systems for these defined requirements. The new trust model is integrated into a role-based access control model. It defines data classes, which separate the sensitive and non-sensitive information.}, language = {en} }