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.

Authors: Kevin Wallis, Fabian Schillinger, Christoph Reich and Christian Schindelhauer

Published in: World Congress on Internet Security (WorldCIS-2020)

  • Date of Conference: 8-10 December 2020
  • DOI: 10.20533/WorldCIS.2020.0001
  • ISBN: 978-1-913572-24-2
  • Conference Location: London, UK