One Step Towards Secure Identification in Wireless Body Area Networks (WBANs): Intelligent Insole Sensor Systems

The ongoing development of the Sixth Generation (6G) wireless systems is opening up new fields of application and opportunities for integrating innovative near-body sensor technology and Body Area Networks (BANs). In light hereof, this work presents the design of an Insole Sensor System (ISS), particularly for identifying and authenticating individuals. An emphasis is thereby laid on the application of unique properties of flexible conductive materials and their seamless integration into future wireless networks. The system -consisting of a matrix of sensor connections-gathers data in real-time and captures individual print patterns, allowing for unique biometric factors. In terms of longevity and energy efficiency, the data is transmitted to a web application via a BLE, allowing integration into an overarching ecosystem of wearable technology and (Medical) Internet of Things ((M)IoT). Furthermore, the work addresses aspects and challenges of the ISS in terms of data protection, security and interoperability. By combining the ISS with machine learning (ML) methods, an accuracy of 95% is achieved, which is a significant improvement compared to standard sensor systems.