Privacy Modeling and Enhancement Methodology for JCAS-Enabled Railway Applications

In this paper, we present a new risk-based methodology for assessing privacy impacts in joint communication and sensing (JCAS)-based systems, with a focus on providingprivacy-enhancing measures for 6G applications. To illustrate the methodology’s applicability, we explore a railway use case where a JCAS system monitors level crossings for obstacles. Additionally, we offer a short demonstration of how the methodology applies to this use case scenario.