Jonah Noack

• The protection of industrial systems is of great importance for ensuring their secure and reliable utilisation. As the protective capabilities of traditional security measures, such as passwords, are increasingly called into question, the necessity for new and advanced security strategies and techniques is becoming increasingly apparent. One potential solution may be behavioural biometrics. The objective of this thesis is to assess the potential of behavioural biometrics in strengthening industrial cyber security and to investigate the challenges that may emerge when implementing behavioural biometrics. A systematic comparison was conducted between behavioural biometrics and other authentication and anomaly detection techniques, including physiological biometrics, passwords and CAPTCHA. A literature-based approach was employed for this purpose. The findings indicate that behavioural biometrics can be employed for authentication and anomaly detection applications. However, it is evident that behavioural biometrics still exhibits a number of limitations that may potentially impede its implementation in industrial settings. The feasibility of implementation is dependent upon the industrial context in which the system is to be deployed, and its deployment necessitates meticulous planning and testing.