@misc{AssafoStaedterMeiseletal., author = {Assafo, Maryam and St{\"a}dter, Jost Philipp and Meisel, Tenia and Langend{\"o}rfer, Peter}, title = {On the Stability and Homogeneous Ensemble of Feature Selection for Predictive Maintenance: A Classification Application for Tool Condition Monitoring in Milling}, series = {Sensors}, volume = {23}, journal = {Sensors}, number = {9}, issn = {1424-8220}, doi = {10.3390/s23094461}, abstract = {Feature selection (FS) represents an essential step for many machine learning-based predictive maintenance (PdM) applications, including various industrial processes, components, and monitoring tasks. The selected features not only serve as inputs to the learning models but also can influence further decisions and analysis, e.g., sensor selection and understandability of the PdM system. Hence, before deploying the PdM system, it is crucial to examine the reproducibility and robustness of the selected features under variations in the input data. This is particularly critical for real-world datasets with a low sample-to-dimension ratio (SDR). However, to the best of our knowledge, stability of the FS methods under data variations has not been considered yet in the field of PdM. This paper addresses this issue with an application to tool condition monitoring in milling, where classifiers based on support vector machines and random forest were employed. We used a five-fold cross-validation to evaluate three popular filter-based FS methods, namely Fisher score, minimum redundancy maximum relevance (mRMR), and ReliefF, in terms of both stability and macro-F1. Further, for each method, we investigated the impact of the homogeneous FS ensemble on both performance indicators. To gain broad insights, we used four (2:2) milling datasets obtained from our experiments and NASA's repository, which differ in the operating conditions, sensors, SDR, number of classes, etc. For each dataset, the study was conducted for two individual sensors and their fusion. Among the conclusions: (1) Different FS methods can yield comparable macro-F1 yet considerably different FS stability values. (2) Fisher score (single and/or ensemble) is superior in most of the cases. (3) mRMR's stability is overall the lowest, the most variable over different settings (e.g., sensor(s), subset cardinality), and the one that benefits the most from the ensemble.}, language = {en} } @misc{AlsabbaghLangendoerfer, author = {Alsabbagh, Wael and Langend{\"o}rfer, Peter}, title = {A New Injection Threat on S7-1500 PLCs - Disrupting the Physical Process Offline}, series = {IEEE Open Journal of the Industrial Electronics Society}, journal = {IEEE Open Journal of the Industrial Electronics Society}, number = {3}, issn = {2644-1284}, doi = {10.1109/OJIES.2022.3151528}, pages = {146 -- 162}, language = {en} } @misc{KabinDykaLangendoerfer, author = {Kabin, Ievgen and Dyka, Zoya and Langend{\"o}rfer, Peter}, title = {Atomicity and Regularity Principles do not Ensure Full Resistance of ECC Designs against Single-Trace Attacks}, series = {Sensors}, volume = {22}, journal = {Sensors}, number = {8}, issn = {1424-8220}, doi = {10.3390/s22083083}, language = {en} } @misc{LehnigerSaadLangendoerfer, author = {Lehniger, Kai and Saad, Abdelaziz and Langend{\"o}rfer, Peter}, title = {Finding Gadgets in Incremental Code Updates for Return-Oriented Programming Attacks on Resource-Constrained Devices}, series = {Annals of Telecommunications}, volume = {78}, journal = {Annals of Telecommunications}, issn = {0003-4347}, doi = {10.1007/s12243-022-00917-8}, pages = {209 -- 229}, language = {en} } @misc{MartinLangendoerferZarrinetal., author = {Martin, Cristian and Langend{\"o}rfer, Peter and Zarrin, Pouya Soltani and D{\´i}az, Manuel and Rubio, Bartolom{\´e}}, title = {Kafka-ML: Connecting the Data Stream with ML/AI Frameworks}, series = {Future Generation Computer Systems}, volume = {126}, journal = {Future Generation Computer Systems}, issn = {0167-739X}, doi = {10.1016/j.future.2021.07.037}, pages = {15 -- 33}, language = {en} } @misc{AmatovLehnigerLangendoerfer, author = {Amatov, Batyi and Lehniger, Kai and Langend{\"o}rfer, Peter}, title = {Return-Oriented Programming Gadget Catalog for the Xtensa Architecture}, series = {6th International Workshop on Security, Privacy and Trust in the Internet of Things (SPT-IoT 2022)}, journal = {6th International Workshop on Security, Privacy and Trust in the Internet of Things (SPT-IoT 2022)}, isbn = {978-1-6654-1647-4}, doi = {10.1109/PerComWorkshops53856.2022.9767489}, pages = {6}, language = {en} } @misc{LangHaddadiEsfahaniDykaetal., author = {Lang, Patrick and Haddadi Esfahani, Ali and Dyka, Zoya and Langend{\"o}rfer, Peter}, title = {FPGA-based Realtime Detection of Freezing of Gait of Parkinson Patients}, series = {Body Area Networks. Smart IoT and Big Data for Intelligent Health Management : 16th EAI International Conference, BODYNETS 2021, Virtual Event, October 25-26, 2021, Proceedings}, journal = {Body Area Networks. Smart IoT and Big Data for Intelligent Health Management : 16th EAI International Conference, BODYNETS 2021, Virtual Event, October 25-26, 2021, Proceedings}, editor = {Rehman, Masood Ur}, publisher = {Springer International Publishing}, isbn = {978-3-030-95593-9}, issn = {1867-8211}, doi = {10.1007/978-3-030-95593-9_9}, pages = {101 -- 111}, language = {en} } @misc{AlsabbaghLangendoerfer, author = {Alsabbagh, Wael and Langend{\"o}rfer, Peter}, title = {No Need to be Online to Attack - Exploiting S7-1500 PLCs by Time-Of-Day Block}, series = {Proc. 28th International Conference on Information, Communication and Automation Technologies (ICAT 2022), arajevo, Bosnia and Herzegovina, 16-18 June 2022}, journal = {Proc. 28th International Conference on Information, Communication and Automation Technologies (ICAT 2022), arajevo, Bosnia and Herzegovina, 16-18 June 2022}, isbn = {978-1-6654-6692-9}, issn = {2643-1858}, doi = {10.1109/ICAT54566.2022.9811147}, pages = {8}, language = {en} } @misc{DykaKabinBrzozowskietal., author = {Dyka, Zoya and Kabin, Ievgen and Brzozowski, Marcin and Panic, Goran and Calligaro, Cristiano and Krstic, Milos and Langend{\"o}rfer, Peter}, title = {On the SCA Resistance of Crypto IP Cores}, series = {23rd IEEE Latin-American Test Symposium (LATS 2022), Montevideo, Uruguay, 05-08 September 2022}, journal = {23rd IEEE Latin-American Test Symposium (LATS 2022), Montevideo, Uruguay, 05-08 September 2022}, isbn = {978-1-6654-5707-1}, issn = {2373-0862}, doi = {10.1109/LATS57337.2022.9937007}, pages = {2}, language = {en} } @misc{ShamilyanKabinDykaetal., author = {Shamilyan, Oxana and Kabin, Ievgen and Dyka, Zoya and Langend{\"o}rfer, Peter}, title = {Distributed Artificial Intelligence as a Means to Achieve Self-X-Functions for Increasing Resilience: the First Steps}, series = {11th Mediterranean Conference on Embedded Computing (MECO), Budva, Montenegro, 07-10 June 2022}, journal = {11th Mediterranean Conference on Embedded Computing (MECO), Budva, Montenegro, 07-10 June 2022}, isbn = {978-1-6654-6828-2}, issn = {2637-9511}, doi = {10.1109/MECO55406.2022.9797193}, pages = {6}, language = {en} } @misc{AftowiczLehnigerLangendoerfer, author = {Aftowicz, Marcin and Lehniger, Kai and Langend{\"o}rfer, Peter}, title = {Scalable FPGA Hardware Accelerator for SVM Inference}, series = {Proc. 10th International Conference on Cyber-Physical Systems and Internet-of-Things (CPS\&IoT 2022)}, journal = {Proc. 10th International Conference on Cyber-Physical Systems and Internet-of-Things (CPS\&IoT 2022)}, isbn = {978-1-6654-6828-2}, issn = {2637-9511}, doi = {10.1109/MECO55406.2022.9797110}, pages = {4}, language = {en} } @misc{AlsabbaghLangendoerfer, author = {Alsabbagh, Wael and Langend{\"o}rfer, Peter}, title = {A Remote Attack Tool on Siemens S7-300 Controllers: Practical Report}, series = {Kommunikation und Bildverarbeitung in der Automation : Ausgew{\"a}hlte Beitr{\"a}ge der Jahreskolloquien KommA und BVAu 2020}, journal = {Kommunikation und Bildverarbeitung in der Automation : Ausgew{\"a}hlte Beitr{\"a}ge der Jahreskolloquien KommA und BVAu 2020}, editor = {Jasperneite, J{\"u}rgen and Lohweg, Volker}, publisher = {Springer Vieweg}, address = {Heidelberg}, isbn = {978-3-662-64282-5}, issn = {2522-8579}, doi = {10.1007/978-3-662-64283-2_1}, pages = {3 -- 21}, language = {en} } @misc{LehnigerLangendoerfer, author = {Lehniger, Kai and Langend{\"o}rfer, Peter}, title = {Through the Window: On the Exploitability of Xtensa's Register Window Overflow}, series = {32nd International Telecommunication Networks and Applications Conference (ITNAC 2022), Wellington, New Zealand, 30 November 2022 - 02 December 2022}, journal = {32nd International Telecommunication Networks and Applications Conference (ITNAC 2022), Wellington, New Zealand, 30 November 2022 - 02 December 2022}, isbn = {978-1-6654-7103-9}, issn = {2474-154X}, doi = {10.1109/ITNAC55475.2022.9998407}, pages = {353 -- 358}, language = {en} } @misc{BrzozowskiLangendoerferCasacaetal., author = {Brzozowski, Marcin and Langend{\"o}rfer, Peter and Casaca, Augusto and Grilo, Antonio and Diaz, Manuel and Mart{\´i}n, Cristian and Camacho, Jose and Landi, Giada}, title = {UNITE: Integrated IoT-Edge-Cloud Continuum}, series = {2022 IEEE 8th World Forum on Internet of Things (WF-IoT), Yokohama, 26 October 2022 - 11 November 2022 Japan}, journal = {2022 IEEE 8th World Forum on Internet of Things (WF-IoT), Yokohama, 26 October 2022 - 11 November 2022 Japan}, isbn = {978-1-6654-9153-2}, doi = {10.1109/WF-IoT54382.2022.10152292}, pages = {6}, language = {en} } @misc{FoersterHinzeLangendorfer, author = {F{\"o}rster, Benjamin and Hinze, Thomas and Langendorfer, Peter}, title = {Topology- and Resource-Based Distribution Scheme for Collaborative Security-Focused Design Space Exploration in Large-Scale Static WSNs}, series = {2024 34th International Telecommunication Networks and Applications Conference (ITNAC)}, journal = {2024 34th International Telecommunication Networks and Applications Conference (ITNAC)}, publisher = {IEEE}, doi = {10.1109/ITNAC62915.2024.10815368}, pages = {1 -- 6}, language = {en} } @misc{EsfahaniMayeFrohbergetal., author = {Esfahani, Ali Haddadi and Maye, Oliver and Frohberg, Max and Speh, Maria and J{\"o}bges, Micheal and Langend{\"o}rfer, Peter}, title = {Real time detection of Freezing of Gait of Parkinson patients based on machine learning running on a body worn device}, series = {Procedia Computer Science}, volume = {239}, journal = {Procedia Computer Science}, publisher = {Elsevier BV}, issn = {1877-0509}, doi = {10.1016/j.procs.2024.06.160}, pages = {177 -- 184}, language = {en} }