Papadimitratos Panagiotis a animé un Seminar@SystemX le 12 octobre sur le thème « Scaling security and privacy for vehicular communications ».
Résumé
There has been significant progress towards rolling out security and privacy solutions for vehicular communication (VC) systems. What remains a challenge is how such solutions will scale as the penetration (the fraction of vehicles that are secure and privacy-enhancing VC-ready) increases. How is the verification of hundreds (or even thousands) of messages per second to be handled? How is credential management to be structured at a global scale and what resources would be needed for that security and privacy infrastructure locally (e.g., to service vehicles for a sizeable city)? Concerned with these questions, we discuss recent research results on (i) efficient message verification and (ii) the design and performance of the credential management infrastructure.
Biographie
Earned his Ph.D. degree from Cornell University, Ithaca, NY, in 2005. He then held positions at Virginia Tech, EPFL and Politecnico of Torino. Panos is currently a tenured Associate Professor at KTH, Stockholm, Sweden, where he leads the Networked Systems Security group. His research agenda includes a gamut of security and privacy problems, with emphasis on wireless networks. At KTH, he is affiliated with the ACCESS center, leading its Security, Privacy, and Trust thematic area, as well as the ICES center, leading its Industrial Competence Group on Security. Panos is a Knut and Alice Wallenberg Academy Fellow and he received a Swedish Science Foundation Young Researcher Award. He has delivered numerous invited talks, keynotes, and panel addresses, as well as tutorials in flagship conferences. Panos currently serves as an Associate Editor of the IEEE Transactions on Mobile Computing and the ACM/IEEE Transactions on Networking. He has served in numerous program committees, with leading roles in numerous occasions; notably, in 2016, as the program co-chair for the ACM WiSec and the TRUST conferences. URL: www.ee.kth.se/nss
