Invited Lecture

Talk Abstract: A number of applications in next-generation networks impose low-latency requirements on learning the provenance of the packets, which in turn could be used for learning the topology of the network. While the state-of-the-art provenance embedding methods focus on the footprint of information flow, there exist interesting use-cases in vehicle-to-everything networks, wherein the road side units intend to learn the spatial-provenance of the packets to offer various location-based services and for detecting security threats on the network. Although vehicles use the global positioning system for navigation, they may refrain from sharing their exact GPS coordinates to the RSUs due to privacy considerations. Thus, to address the localization expectations of the RSUs and the privacy concerns of the vehicles, in this talk, we will present a relaxed-privacy model wherein vehicles share their partial location information through spatial-provenance in order to avail the location-based services. To implement this notion of relaxed privacy, we discuss a low-latency protocol for spatial-provenance recovery, wherein vehicles use correlated linear Bloom filters to embed their position information. Our proposed spatial-provenance recovery process takes into account the resolution of localization, the underlying ad hoc protocol, and the coverage range of the wireless technology used by the vehicles. Through a rigorous theoretical analysis, we present extensive analysis on the underlying trade-off between relaxed-privacy and the communication-overhead of the protocol. Finally, using a wireless testbed, we show that our proposed method requires a few bits in the packet header to provide security features such as localizing a low-power jammer executing a denial-of-service attack. About the speaker: Dr. Harshan Jagadeesh is an Associate Professor in the Department of Electrical Engineering, Indian Institute of Technology Delhi. He is also the co-coordinator of the center of excellence on cybersecurity and information assurance at IIT Delhi. Prior to joining IIT Delhi, he worked as a Researcher in the CyberSecurity group at Advanced Digital Sciences Center, Singapore. Before that he worked as a Research Fellow in the Division of Mathematical Sciences, Nanyang Technological University, Singapore and in the Department of Electrical and Computer Systems Engineering at Monash University, Australia. He obtained the Ph.D. degree from the Department of Electrical Communication Engineering, Indian Institute of Science, India. His research interests are in the broad areas of security and privacy applied to wireless and storage networks. All are cordially invited to attend the lecture.