Empowering Transportation Cybersecurity Through Research and Education
ABOUT CYBER-CARE
Mission
Our mission encompasses fostering interdisciplinary research and education, bridging the fields of transportation and cybersecurity. We aim to create a collaborative environment where expertise from both domains can merge. This synergy will drive innovations and advancements, ensuring a secure and efficient transportation future.
Vision
To develop the world’s leading innovative, healthy, sustainable, and intelligent transportation cybersecurity system and protect the American people, supply chains, public transit systems, and the economy through the safe, resilient, and sustainable movement of people and goods.
Values
- Security and Safety
- Resilience
- Excellence
- Innovation
- Education and Empowerment
- Ethical Conduct
SIGNIFICANCE
Cybersecurity is crucial in transportation to protect people and goods, prevent economic and security risks, and combat threats like car hacking, as shown in the video.
Consortium
AREA OF EXPERTISE
| Area of Expertise | |
|---|---|
| University of Houston | Blockchain Technology to Improve the Security and Safety |
| Impacts of Cyber-attacks on All Road Users | |
| Embry-Riddle Aeronautical University | Testing and Evaluation of CAV |
| Secure and Trustworthy Transportation Cyber Physical Systems | |
| RICE University | Scalable, Interpretable and Flexible Al and MIL |
| Intrusion and Misinformation Detection in Transportation Sys. | |
| Texas A&M University - Corpus Christi |
Access Mediation Technologies |
| Education and Workforce Development | |
| University of Cincinnati | Vehicle - driver Complex Behaviours |
| CPS - based Cyber-attack and Detection | |
| University of Hawaii | Discovery of data-driven TCMS attack pattern |
| Hacking knowledge for cyber-security enhancement | |
KEY PERSONNEL TEAM
The team includes a diverse group of professors from various universities, each bringing unique expertise to key roles, from Center Director to Associate Director. Their collaborative efforts are essential in advancing innovation in transportation and cybersecurity.
Research
LEADING RESEARCH
Cybersecurity is a rapidly evolving field, and it is essential for organizations to stay up-to-date on the latest research and trends. The Research page on our website provides a central location for our team to share their research findings with the wider cybersecurity community.
The CYBER-CARE is dedicated to conducting research that tackles critical policy inquiries and ensuring that our research outcomes are integrated into the policymaking process
Latest News
Highlighted on the University of Houston Spring/Summer 2024 Magazine Cover
CYBER-CARE is proud to be featured in the University of Houston Spring/Summer 2024 Magazine, highlighting our leading role in safeguarding America's transportation systems against cyber threats. As a Tier 1 university center, recognized by the U.S. Department of Transportation, our consortium is at the forefront of advancing cybersecurity measures to protect connected and automated vehicles and critical infrastructure. This feature outlines our ongoing projects and the innovative technologies we are deploying to enhance national security and public safety. For a deeper look into our initiatives and the impact of our work, read the full article in the UH Magazine.
The 1 st Workshop of Transportation Cybersecurity Center for Advanced Research and Education (CYBER-CARE)
CYBER-CARE is geared up for its inaugural workshop, set against the backdrop of the Morrison-Clark Historic Inn & Restaurant in Washington, DC. With a focus on "Cybersecure Transit: Innovation at the Intersection of AI, IoT, and Smart Mobility," this event delivered a deep dive into cutting-edge advancements that shaped the future of transportation security.
IEEE Best Land Transportation Paper Award (2023)
Our paper, A Deep Reinforcement Learning Network for Traffic Light Cycle Control won the IEEE Best Land Transportation Paper Award for the year 2023. We addressed inefficient traffic light control with deep reinforcement learning and real-time data, optimizing with techniques like dueling networks and double Q-learning. By simulating with SUMO, we showcased its efficiency, emphasizing its importance in traffic management. This recognition underscores our contributions to land transportation advancement.