@inproceedings{WallisSchillingerReichetal.2020,
  author    = {Kevin Wallis and Fabian Schillinger and Christoph Reich and Christian Schindelhauer},
  title     = {Corrupted Nodes and their Impact on a Distributed Decision Tree},
  series = {World Congress on Internet Security (WorldCIS-2020), December, 8, 2020 - December, 10, 2020, online},
  isbn      = {978-1-913572-24-2},
  doi       = {10.20533/WorldCIS.2020.0001},
  pages     = {11 -- 18},
  year      = {2020},
  abstract  = {Machine learning applications, like machine condition monitoring, predictive maintenance, and others, become a state of the art in Industry 4.0. One of many machine learning algorithms are decision trees for the decision-making process. A new approach for creating distributed decision trees, called node based parallelization, is presented. It allows data to be classified through a network of industrial devices. Each industrial device is responsible for a single classification rule. Also, nodes that react incorrectly, for example, due to an attack, are taken into account using a variety of methods to remain the decision-making process correct and robust.},
  language  = {en}
}