Delay-aware and Scalable Cryptographic Methods for Vehicular Networks with Embedded Architectures
Modern vehicles are being equipped with advanced sensing and communication technologies, which enable them to support innovative services in the Internet of Vehicles (IoV) era such as autonomous driving. These services can be effective through the spatial and temporal synchronization of the vehicle with the other entities in the environment. Hence, the communication in IoVs must be delay-aware, reliable, scalable and secure to (a) prevent an attacker from injecting/manipulating messages; (b) minimize the impact (e.g., delay, communication overhead) introduced by crypto operations. For instance, consider a group of vehicles driving on a highway with high speed. Once a vehicle brakes suddenly, this is broadcasted to other vehicles to avoid collision. If the delay introduced by the crypto operations negatively affects the braking distance, then a car may not be able to stop in time.
However, existing crypto mechanisms introduce significant computation and bandwidth overhead, which creates critical safety problems. It is a vital research problem to develop security mechanisms that can meet the requirements of emerging IoVs. The overall goal of our research is to develop a new suite of cryptographic mechanisms, supported with time-valid framework and hardware-acceleration, to ensure secure and reliable operation IoVs. This project develops, analyzes and implements new authentication methods and then pushes the performance to the edge via time-valid approach and cryptographic hardware-acceleration.
Ioannis Papapanagiotou received the Dipl.Ing. degree in Electrical and Computer Engineering from the University of Patras, Greece in 2006. The M.Sc. degree and dual Ph.D. degrees in Computer Engineering and Operations Research from North Carolina State University in 2009 and 2012, respectively. He has been awarded the best paper awards in IEEE GLOBECOM 2007 and IEEE CAMAD 2010. As a graduate student he received the IBM PhD Fellowship and the Academy of Athens PhD Fellowship, and as a faculty member, the NetApp Faculty Fellowship. He is currently an Assistant Professor in the Department of Computer and Information Technology at Purdue University and an Adjunct Assistant Professor in the Department of Electrical & Computer Engineering at North Carolina State University.
Ioannis is also a faculty member of the Center for Education and Research in Information Assurance and Security (CERIAS) and Purdue Energy Center, both at Purdue University. He is also the co-PI of the NVIDIA CUDA Research Center at Purdue University. In the past, he worked as a software engineer in the areas of mobile and cloud computing at IBM’s Emerging Technology Institute, an in-house incubator team directly reporting to the CTO. His current research interests are in the domains of Cloud Computing (specifically on cloud storage and microservices), Internet of Things (focusing on proximity and geofencing) and network systems.