CYBER-CARE - University of Houston
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ABOUT CYBER-CARE

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mission

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.

vission

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

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

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.

Meet Key Personal

Research

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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

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Latest News

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.

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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.

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Sep 25 2023
AI for Cybersecurity and Security of AI

Talk on AI for Cybersecurity and Security of AI

by Dr. Houbing Herbert Song, IEEE Fellow; Associate Professor,UMBC, USA.
The mutual needs and benefits of AI and cybersecurity have been widely recognized. AI techniques are expected to enhance cybersecurity by assisting human system managers with automated monitoring, analysis, and responses to adversarial attacks. Conversely, it is essential to guard AI technologies from unintended uses and hostile exploitation by leveraging cybersecurity practices. The interplay between AI/machine learning, and cybersecurity introduces new opportunities and challenges in the security of AI as well as AI for cybersecurity.

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