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Overview

The information below describes an NSF-funded project for planning the formation of a potential new center. Planning activities include: industry engagement, workshop planning and execution; identification of research areas of strong industrial interest/need; realization of industrial support commitments; future preparation of a proposal to NSF seeking funding for a Phase I center.

The Center for Infrastructure Security in the Era of AI (ISEAI) envisions a future where Artificial Intelligence (AI) seamlessly integrates into the security fabric of modern infrastructure across a wide range of domains including energy and transportation among others. The Center’s mission is to address current and future challenges in Infrastructure Security through collaborative research between interdisciplinary academic researchers, government labs, and industry partners.

ISEAI will address the critical need for innovative solutions and advanced AI techniques to tackle current and future challenges and increase the resilience of critical national infrastructure against a vast array of both traditional and AI-enabled cyber threats across critical domains such as energy, healthcare, government facilities, and transportation. Key challenges include, among others, developing robust authentication mechanisms, securing legacy systems, and adapting to an evolving threat landscape that is currently dominated by the rise of AI. Additionally, the integration of IoT devices and other emerging technologies into infrastructure systems presents new complexities, necessitating advanced threat detection and mitigation strategies.

Through interdisciplinary research and collaboration, ISEAI aims to enhance the resilience and security of critical infrastructure globally. The outcomes of the Center’s research will address not only the needs of industry players operating in this space but also the need of governments to secure their critical infrastructure against domestic and foreign threats.

The Center’s research thrust areas will include but are not limited to (1) AI-enabled real-time threat detection, (2) AI-driven resilience, (3) data privacy, (4) ethical AI governance, (5) AI-enabled predictive maintenance, (6) supply chain security, (7) autonomous cybersecurity operations, (8) AI-enhanced situational awareness, (9) human factors and human-AI interaction, and (10) AI in emergency response.

Universities

  • University of North Dakota
  • University of Arkansas
View Website

Personnel

Dong (Kevin) Jin
Site Director, University of Arkansas

dongjin@uark.edu

Prakash Ranganathan
Site Director, University of North Dakota

prakash.ranganathan@und.edu

Awards

The opinions, findings, and conclusions or recommendations expressed are those of the Center author(s) and do not necessarily reflect the views of the U.S. National Science Foundation.