NextG MEC Coordinated Resilient Cyber-Physical System Services

Abstract

Cyber-physical systems fueled by NextG are rapidly adopted to sense, compute, control, and network the underlying physical system. However, components in different domains have different processing, network bandwidth, handling capability, and idiosyncrasies of its protocols. These differences induce the challenge of having secured communication among such components. For such secured communication, the TLS(Transport Layer Security) protocol is heavily used to an extent called the core building block for Internet security.First, recognizing that the current form of TLS cannot be universally applied due to the constraint imposed by devices, this dissertation extends TLS 1.3 with implicit certificates. This addition can serve domains with constrained devices with limited power and networking capacity without compromising security. This is done by decreasing the size of the certificate but with that has high-security strength with lesser bits and fully complying with TLS 1.3. Secondly, this research addresses ways to determine and address algorithms for onboard units (OBUs) of NextG connected vehicles' OBU under-performance and their remedies to complete driving missions. This is done by enhancing priority queue-based message processing algorithm at OBUs with an approximation algorithm that estimates the number of vehicles that the OBU’s CPU can process in real-time estimates. Finally, we show a scheme to move local traffic controllers to NextG Multi-edge Access servers (MEC). This work uses multiple features of NextG such as Ultra-Reliable and Low Latency Communications (URLCC) and mmWave radios, short delays, and large bandwidth, which enables local, low latency high throughput transmissions. This work is based on recent cellular vehicle to Everything(C-V2X) specifications.