Publications

Shows all publications by members of the Institute of Computer Engineering.

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M. Wurzenberger, G. Höld, M. Landauer, F. Skopic, W. Kastner: Creating Character-based Templates for Log Data to EnableSecurity Event Classification
15th ACM ASIA Conference on Computer and Communications Security, Taipei, Taiwan; in: Proceedings 15th ACM ASIA Conference on Computer and Communications Security, 2020, p. 141 - 152
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W. Hofer: Agent-based non-intrusive methodology for characterizing reactive mobile communication networks (Master's Thesis)
reviewer: W. Kastner; Institute of Computer Engineering, 2020; oral examination: 2020-03-02
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D. Molnar: Methods and Framework for Data-Driven Building Service Analytics (Master's Thesis)
reviewer: W. Kastner; Institute of Computer Engineering, 2020; oral examination: 2020-06-03
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K. Wissenwasser: Scenarios and Use Cases for the Energy Aware Smart Home (Master's Thesis)
reviewer: W. Kastner; Institute of Computer Engineering, 2020; oral examination: 2020-08-03
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B. Heinzl, W. Kastner: Metaheuristic Simulation-based Production Planning for Energy Efficiency: A Case Study
Simulation Notes Europe, 30 (2020), p. 105 - 116
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B. Heinzl, W. Kastner: A general variable neighborhood search for simulation-based energy-aware flow shop scheduling
2020 Summer Simulation Conference, online; in: Proceedings of the 2020 Summer Simulation Conference, 2020, ISBN: 978-1-71381-429-0, p. 1 - 12
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M. Spiegel, E. Widl, B. Heinzl, W. Kastner, N. Akroud: Model-Based Virtual Components in Event-Based Controls: Linking the FMI and IEC 61499
Applied Sciences, 10(5) (2020), p. 1 - 14
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D. Widhalm, K. Göschka, W. Kastner: SoK: a taxonomy for anomaly detection in wireless sensor networks focused on node-level techniques
ARES'20: 15th International Conference on Availability, Reliability and Security, Dublin, Ireland; in: ARES'20: Proceedings of the 15th International Conference on Availability, Reliability and Security, 2020, p. 1 - 10
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M. Sabou, S. Biffl, A. Einfalt, L. Krammer, W. Kastner, F. Ekaputra: Semantics for Cyber-Physical Systems: A Cross-Domain Perspective
Semantic Web, 11 (2020), p. 115 - 124
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D. Etz, H. Brantner, W. Kastner: Smart Manufacturing Retrofit for Brownfield Systems
International Conference on Industry 4.0 and Smart Manufacturing, Rende, Italy; in: Procedia Manufacturing, 2019, p. 327 - 332
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O. van der Toorn, R. van Rijswijk-Deij, T. Fiebig, M. Lindorfer, A. Sperotto: TXTing 101: Finding Security Issues in the Long Tail of DNS TXT Records
International Workshop on Traffic Measurements for Cybersecurity (WTMC), IEEE, 2020, ISBN: 978-1-7281-8598-9
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T. van Ede, R. Bortolameotti, A. Continella, J. Ren, D. Dubois, M. Lindorfer, D. Choffnes, M. van Steen, A. Peter: FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic
Network and Distributed System Security Symposium (NDSS), Internet Society, 2020, ISBN: 1-891562-61-4
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H. Aghakhani, F. Gritti, F. Mecca, M. Lindorfer, S. Ortolani, D. Balzarotti, G. Vigna, C. Krügel: When Malware is Packin' Heat; Limits of Machine Learning Classifiers Based on Static Analysis Features
Network and Distributed System Security Symposium (NDSS), Internet Society, 2020, ISBN: 1-891562-61-4
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S. Mansour-Duschet: A Multiagent Design Methodology for the Manufacturing Execution System Domain (PhD Thesis)
reviewers: B. Kittl, W. Kastner, A. Taudes; E 311-01, 2020; oral examination: 2020-12-11
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J. DelPreto, A. Salazar-Gomez, S. Gil, R. Hasani, F. Guenther, D. Rus: Plug-and-play supervisory control using muscle and brain signals for real-time gesture and error detection
Autonomous Robots, 44 (2020), p. 1303 - 1322
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M. Lechner, R. Hasani, A. Amini, T. Henzinger, D. Rus, R. Grosu: Neural Circuit Policies Enabling Auditable Autonomy
Nature Machine Intelligence, 2 (2020), p. 642 - 652
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R. Hasani, M. Lechner, A. Amini, D. Rus, R. Grosu: A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits
2020 International Conference on Machine Learning (ICML), Virtual; in: Proceedings of machine learning research, Volume 119: International Conference on Machine Learning (ICML), 2020, p. 4082 - 4093
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M. Lechner, R. Hasani, D. Rus, R. Grosu: Gershgorin Loss Stabilizes the Recurrent Neural Network Compartment of an End-to-end Robot Learning Scheme
2020 IEEE International Conference on Robotics and Automation (ICRA), Virtual - Paris France; in: 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, p. 5446 - 5452
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G. Steindl, W. Kastner: Ontology-Based Model Identification of Industrial Energy Systems
2020 IEEE 29th International Symposium on Industrial Electronics (ISIE), Delft; in: Proceedings 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE), 2020, p. 1217 - 1223
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G. Steindl, M. Stagl, L. Kasper, W. Kastner, R. Hofmann: Generic Digital Twin Architecture for Industrial Energy Systems
Applied Sciences, 10(24) (2020), p. 1 - 20
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