This project aims to accelerate the deployment of security measures for cyber-physical systems (CPSs). A framework is proposed 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. Within this framework, the investigators will (1) implement hybrid observers and active attack detection methods exploiting system vulnerabilities; and (2) develop and integrate cyber-attack control countermeasure at the physical system level to guarantee functionality and resiliency in the presence of identified and unidentified threats. Specifically, this project focuses on applications to connected vehicle (CV) systems where vehicles are capable of sharing information via dedicated short range communication network, with the goal of improving fuel efficiency and avoiding collision. The project's final objective would be to create a cyber-secure vehicle connectivity paradigm that incorporates cyber-attack detection algorithms and executes integrated fault-tolerant countermeasures at the vehicle level to support vehicle system resiliency and accelerate the future commercialization of automated vehicles. The research solutions of this project will impact safety, security and reliability of networked CPSs by helping accelerate the adoption of threat identification and attack resilient control countermeasures at the system and network level. The specific application to connected and automated vehicles should lead to a future market acceptance of these vehicle technologies with a potential improvement in traffic conditions, vehicle and personal safety, and energy consumption. This project involves interdisciplinary research in cyber security for the development of more secure, scalable and reliable future networked CPSs. It proposes to conduct fundamental research on a model-based computational strategy that includes: 1) implement advanced threat models in a hybrid systems framework; 2) identify system and communication vulnerabilities especially in the dedicated short range communication network (DSRC) for CVs; 3) derive hybrid observer based cyber-attack detection algorithms based on stochastic quantized models and event triggered estimation; 4) establish active attack detection methods based on system vulnerabilities; 5) develop control counter measures for each CPS based on game theory and robust control methods; 6) derive control algorithms against malicious agents in the CV to avoid vehicle collisions; 7) develop computationally fast and distributed algorithms for the above six objectives; and 8) evaluate through simulation and experimental validation the capabilities and impact on the vehicle of the proposed strategies.
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Clemson University
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National Science Foundation
James Martin
Submitted by Pierluigi Pisu on April 11th, 2016

New York City, Tampa, FL and Wyoming Selected for Competitive Pilot Programs

Submitted by Site Manager on September 15th, 2015

The Intelligent Transportation Systems Joint Program Office's (ITS-JPO) posted a solicitation for Phase I, Concept Deveopment, of the Connected Vehicle (CV) Pilot Deployments.  The objective of Phase I is to develop a CV Pilot Deployment concept, build partnerships among stakeholders, and prepare a comprehensive pilot deployment plan that reduces technical, institutional and financial risk. Responses are due March 16.  More information is located at https://www.fbo.gov/index?s=opportunity&mode=form&id=4bb6693ac3021c178595d83fab3b5d73&tab=core&_cview=1

General Announcement
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david kuehn Submitted by david kuehn on February 3rd, 2015
Announcement
ARPA-E TRANSNET RFI

The Advanced Research Projects Agency Energy (ARPA-E) is seeking researchers interested in partnering on “Traveler Response Architecture using Novel Signaling for Network Efficiency in Transportation” (TRANSNET). The overall objective of the TRANSNET program is to reduce energy use in a multi-modal, urban transportation network through network control mechanisms employing personalized signaling.  More information is located under RFI-0000013 located at https://arpa-e-foa.energy.gov/.

General Announcement
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david kuehn Submitted by david kuehn on October 22nd, 2014

As reported by the local CSB affiliate in Washington, DC, Virginia DOT installed a "living laboratory" for connected infrastructure and vehicle technoloigy on Interstate 66.  The USDOT is working with the State, Virginia Tech, and others on the development of the system. 

david kuehn Submitted by david kuehn on June 16th, 2013
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