Anna Valeria Guglielmi received MSc in Telecomunications engineering from University of Padova in 2014. She received PhD in 2018. From this year on she was involved in the development of the ENSPACE project’s activity regarding the identification of integrity protection and authentication mechanisms for GNSS signals of satellites communications. The project was financed by the European GNSS Agency and the partners involved were Qascom, Department of Information Engineering (University ofPadova), Spirent, Endurosat, Euroconsult, and GEA Space. She was involved also in the PATROL project’s activity targeting the Road and Digital Tachograph domain and aiming at developing a User Terminal that provides a trusted PVT (Position,Velocity, Time) to Smart Tachographs and other positioning applications. The project was financed by GSA and was coordinated by Qascom, with FDC as consortium partner and subcontractors ST Microelectronics, GMV Aerospace and Defence, Actia and theUniversity of Padova. She worked (and is still working) on the analysis (compression and data fusion) of different physiological data by means of Telecommunications notions and methods. Actually, she is mainly involved in the development of the GARR project’s activity regarding the investigation on biometrics based scheme for key agreement protocol in wireless body area networks. In this project her knowledge about security and physiological signals are fused. The project is financed by the consortium GARR. Anna’s participation in Future Talent Programme (FTP21) was supported by GARR (Italy).
Lightning Talk Topic
Biometrics-based scheme for public key agreement protocol in wireless body area networks
Wireless body area networks (WBANs) are becoming increasingly popular as they allow individuals to continuously monitor their vitals and physiological parameters remotely from the hospital. With the spread of the SARS-CoV-2 pandemic, the availability of portable pulse-oximeters and wearable heart rate detectors has boomed in the market. At the same time, in recent years we assisted to an unprecedented increase of healthcare breaches, revealing the extreme vulnerability of the current generation of WBANs. Therefore, the development of new security protocols to ensure data protection, authentication, integrity and privacy within WBANs are highly needed. In this context, we target a WBAN collecting ECG signals from different locations on the individual’s body, and we propose a new information theoretic key agreement protocol that exploits the inherent randomness of ECG signals to ensure authentication between the nodes within the WBAN.