TY - JOUR A1 - Feeken, Linda A1 - Kern, Esther A1 - Szanto, Alexander A1 - Winnicki, Alexander A1 - Kao, Ching-Yu A1 - Wudka, Björn A1 - Glawe, Matthias A1 - Mirzaei, Elham A1 - Borchers, Philipp A1 - Burghardt, Christian ED - Carvalho, Alexandre T1 - Detecting and Processing Anomalies in a Factory of the Future JF - Applied Sciences N2 - Production systems are changing in many aspects on the way to a Factory of the Future, including the level of automation and communication between components. Besides all benefits, this evolution raises the amount, effect and type of anomalies and unforeseen behavior to a new level of complexity. Thus, new detection and mitigation concepts are required. Based on a use-case dealing with a distributed transportation system for production environments, this paper describes the different sources of possible anomalies with the same effect, anomaly detection methods and related mitigation techniques. Depending on the identified anomaly, the FoF should react accordingly, such as fleet or AGV reconfiguration, strong authentication and access control or a deletion of adversarial noises. In this paper, different types of mitigation actions are described that support the fleet in overcoming the effect of the anomaly or preventing them in the future. A concept to select the most appreciate mitigation method is presented, where the detection of the correct source of the anomaly is key. This paper shows how various techniques can work together to gain a holistic view on anomalies in the Factory of the Future for selecting the most appropriate mitigation technique. KW - Factory of the Future KW - manufacturing KW - Factory of the Future KW - resilience KW - anomaly KW - detection KW - mitigation KW - cyber-attack KW - threat actors KW - Cyberattacke KW - Anomalie Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:523-16016 SN - 2076-3417 VL - 12 IS - 16 SP - 1 EP - 24 PB - MDPI ER -