M. Sc. Anna-Pia Lohfink
Ph.D. student
Office 36-225
Email lohfink@cs.uni-kl.de
Anna-Pia Lohfink
Publications
2021
  1. A.-P. Lohfink, V. M. Memmesheimer, F. Gartzky, and C. Garth. The Enhanced Security in Process System – Evaluating Knowledge Assistance. 2021. (Accepted to TREX 2021: Workshop on TRust and EXpertise in Visual Analytics)
    @inproceedings{lmgg21,
      author = {Lohfink, Anna-Pia and Memmesheimer, Vera Marie and Gartzky, Frederike and Garth, Christoph},
      title = {The Enhanced Security in Process System -- Evaluating Knowledge Assistance},
      year = {2021},
      note = {Accepted to TREX 2021: Workshop on TRust and EXpertise 
      in Visual Analytics}
    }
    
  2. A. P. Lohfink, F. Gartzky, F. Wetzels, L. Vollmer, and C. Garth. Time-Varying Fuzzy Contour Trees. CoRR, vol. abs/2107.12682, 2021. arXiv:2107.12682 (Accepted to IEEE VIS’21 Short Papers.)
    @article{lgw+21,
      author = {Lohfink, Anna Pia and Gartzky, Frederike and Wetzels, Florian and Vollmer, Luisa and Garth, Christoph},
      title = {Time-Varying Fuzzy Contour Trees},
      journal = {CoRR},
      volume = {abs/2107.12682},
      year = {2021},
      url = {https://arxiv.org/abs/2107.12682},
      eprinttype = {arXiv},
      eprint = {2107.12682},
      timestamp = {Fri, 30 Jul 2021 13:03:06 +0200},
      biburl = {https://dblp.org/rec/journals/corr/abs-2107-12682.bib},
      bibsource = {dblp computer science bibliography, https://dblp.org},
      note = {Accepted to IEEE VIS'21 Short Papers.}
    }
    
  3. A. P. Lohfink, S. D. D. Antón, H. Leitte, and C. Garth. Knowledge Rocks: Adding Knowledge Assistance to Visualization Systems. CoRR, vol. abs/2107.11095, 2021. arXiv:2107.11095 (Accepted to IEEE VIS’21 Full Papers.)
    @article{lal+21,
      author = {Lohfink, Anna Pia and Ant{\'{o}}n, Simon D. Duque and Leitte, Heike and Garth, Christoph},
      title = {Knowledge Rocks: Adding Knowledge Assistance to Visualization Systems},
      journal = {CoRR},
      volume = {abs/2107.11095},
      year = {2021},
      url = {https://arxiv.org/abs/2107.11095},
      eprinttype = {arXiv},
      eprint = {2107.11095},
      timestamp = {Thu, 29 Jul 2021 16:14:15 +0200},
      biburl = {https://dblp.org/rec/journals/corr/abs-2107-11095.bib},
      bibsource = {dblp computer science bibliography, https://dblp.org},
      note = {Accepted to IEEE VIS'21 Full Papers.}
    }
    
2020
  1. A. P. Lohfink, S. D. Antón, H. D. Schotten, H. Leitte, and C. Garth. Security in Process: Visually Supported Triage Analysis in Industrial Process Data. IEEE Trans. Vis. Comput. Graph., vol. 26, no. 4, pp. 1638–1649, 2020. 10.1109/TVCG.2020.2969007
    @article{lasl+20,
      author = {Lohfink, Anna Pia and Ant{\'{o}}n, Simon Duque and Schotten, Hans Dieter and Leitte, Heike and Garth, Christoph},
      doi = {10.1109/TVCG.2020.2969007},
      journal = {{IEEE} Trans. Vis. Comput. Graph.},
      number = {4},
      pages = {1638--1649},
      timestamp = {Sat, 30 May 2020 19:47:52 +0200},
      title = {Security in Process: Visually Supported Triage Analysis in
      		  Industrial Process Data},
      url = {https://doi.org/10.1109/TVCG.2020.2969007},
      volume = {26},
      year = {2020}
    }
    
    Abstract: Operation technology networks, i.e. hard- and software used for monitoring and controlling physical/industrial processes, have been considered immune to cyber attacks for a long time. A recent increase of attacks in these networks proves this assumption wrong. Several technical constraints lead to approaches to detect attacks on industrial processes using available sensor data. This setting differs fundamentally from anomaly detection in IT-network traffic and requires new visualization approaches adapted to the common periodical behavior in OT-network data. We present a tailored visualization system that utilizes inherent features of measurements from industrial processes to full capacity to provide insight into the data and support triage analysis by laymen and experts. The novel combination of spiral plots with results from anomaly detection was implemented in an interactive system. The capabilities of our system are demonstrated using sensor and actuator data from a real-world water treatment process with introduced attacks. Exemplary analysis strategies are presented. Finally, we evaluate effectiveness and usability of our system and perform an expert evaluation.
  2. A. P. Lohfink, F. Wetzels, J. Lukasczyk, G. H. Weber, and C. Garth. Fuzzy Contour Trees: Alignment and Joint Layout of Multiple Contour Trees. Comput. Graph. Forum, vol. 39, no. 3, pp. 343–355, 2020. 10.1111/cgf.13985
    @article{lwlw+20,
      author = {Lohfink, Anna Pia and Wetzels, Florian and Lukasczyk, Jonas and Weber, Gunther H. and Garth, Christoph},
      doi = {10.1111/cgf.13985},
      journal = {Comput. Graph. Forum},
      number = {3},
      pages = {343--355},
      timestamp = {Wed, 26 Aug 2020 11:04:47 +0200},
      title = {Fuzzy Contour Trees: Alignment and Joint Layout of
      		  Multiple Contour Trees},
      url = {https://doi.org/10.1111/cgf.13985},
      volume = {39},
      year = {2020}
    }
    
  3. A. Keksel, A. P. Lohfink, M. Eifler, C. Garth, and J. Seewig. Virtual topography measurement with transfer functions derived by fitted time series models. Measurement Science and Technology, vol. 31, no. 5, p. 055008, 2020. 10.1088/1361-6501/ab5131
    @article{klegs20,
      title = {Virtual topography measurement with transfer functions derived by fitted time series models},
      author = {Keksel, A and Lohfink, AP and Eifler, M and Garth, C and Seewig, J},
      journal = {Measurement Science and Technology},
      volume = {31},
      number = {5},
      pages = {055008},
      year = {2020},
      publisher = {IOP Publishing},
      doi = {10.1088/1361-6501/ab5131},
      url = {https://doi.org/10.1088/1361-6501/ab5131}
    }
    
2019
  1. S. D. D. Antón, A. P. Lohfink, C. Garth, and H. D. Schotten. Security in Process: Detecting Attacks in Industrial Process Data. In Proceedings of the Third Central European Cybersecurity Conference, CECC 2019, Munich, Germany, November 14-15, 2019, 2019, pp. 5:1–5:6. 10.1145/3360664.3360669
    @inproceedings{algs19,
      author = {Ant{\'{o}}n, Simon D. Duque and Lohfink, Anna Pia and Garth, Christoph and Schotten, Hans Dieter},
      booktitle = {Proceedings of the Third Central European Cybersecurity
      		  Conference, {CECC} 2019, Munich, Germany, November 14-15,
      		  2019},
      doi = {10.1145/3360664.3360669},
      pages = {5:1--5:6},
      publisher = {{ACM}},
      timestamp = {Fri, 27 Dec 2019 21:19:53 +0100},
      title = {Security in Process: Detecting Attacks in Industrial
      		  Process Data},
      url = {https://doi.org/10.1145/3360664.3360669},
      year = {2019}
    }
    
  2. S. D. D. Antón, A. P. Lohfink, and H. D. Schotten. Discussing the Feasibility of Acoustic Sensors for Side Channel-aided Industrial Intrusion Detection: An Essay. In Proceedings of the Third Central European Cybersecurity Conference, 2019, pp. 1–4. 10.1145/3360664.3360667
    @inproceedings{als19,
      author = {Ant{\'{o}}n, Simon D. Duque and Lohfink, Anna Pia and Schotten, Hans Dieter},
      title = {Discussing the Feasibility of Acoustic Sensors for Side Channel-aided Industrial Intrusion Detection: An Essay},
      booktitle = {Proceedings of the Third Central European Cybersecurity Conference},
      pages = {1--4},
      year = {2019},
      url = {https://doi.org/10.1145/3360664.3360667},
      doi = {10.1145/3360664.3360667}
    }
    
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