The goal of this project is to demonstrate that new cyber-physical architectures will enable closed-loop sensor networks to be shared among multiple applications and to dynamically allocate sensing and computing resources necessary to analyze sensor data and perform sensor actuation.

Explanation of Demonstration: We will present our recent progress on how the coordination of behaviors of automated vehicles can help to improve the safety and efficiency of transportations systems. First, we will demonstrate how to leverage real-time scheduling theory to improve traffic flow and reduce congestion at intersections. Second, we will show how to achieve collision avoidance when a malicious party is present.

This CPS proposal focuses on developing scientific foundations for the research area of CPS Security and Privacy.  Our novelty is that while security and privacy are two properties we want these systems to provide, they have not been addressed jointly before.  

This project aims at accelerating the deployment of security measures for cyber-physical systems (CPSs) by proposing a framework that combines anomaly identification approaches, which emphasizes on the development of decentralized cyber-attack monitoring and diagnostic-like components, with robust control countermeasure to improve reliability and maintain system functionality. One of the main challenges for cyber-physical systems is the security of transmitted data over the communication network.

Significant progress has been made in the avenues of both software and hardware for fulfilling the objective of trustworthy autonomous cyber-physical systems (CPS). However, technological challenges still exist and particularly in terms of decision making under uncertainty.