Maksuti, SiliaSiliaMaksutiSchluga, OliverOliverSchlugaSettanni, GiuseppeGiuseppeSettanniTauber, MarkusMarkusTauberDelsing, JerkerJerkerDelsing0000-0002-4133-33172020-02-122020-02-122019-02http://hdl.handle.net/20.500.11790/1332Manufacturing enterprises are constantly exploring new ways to improve their own production processes to address the increasing demand of customized production. However, such enterprises show a low degree of flexibility, which mainly results from the need to configure new production equipment at design and run time. In this paper we propose self-adaptation as an approach to improve data transmission flexibility in Industry 4.0 environments. We implement an autonomic manager using a generic autonomic management framework, which applies the most appropriate data transmission configuration based on security and business process related requirements, such as performance. The experimental evaluation is carried out in a MQTT infrastructure and the results show that using self-adaptation can significantly improve the trade-off between security and performance. We then propose to integrate anomaly detection methods as a solution to support self-adaptation by monitoring and learning the normal behavior of an industrial system and show how this can be used by the generic autonomic management framework.eninfo:eu-repo/semantics/closedAccessproduct customisationproduction engineering computingproduction equipmentsecurity of datainfo:eu-repo/semantics/conferenceObject10.1109/ICIT.2019.8754937