Wednesday, August 2, 2023

False Claims Attacks on Infrastructure Focus of NSF-Funded Research

 by Josh DeLozier

image of hacker

False claims and disinformation, especially in a social media-driven society, have become major problems with potentially severe consequences. Thanks to an initial seed grant from the Data Institute for Societal Challenges and the Oklahoma Aerospace and Defense Innovation Initiative, researchers at OU and collaborating institutions have received a projected $599,947 from the National Science Foundation’s Secure and Trustworthy Cyberspace program to study false claim attacks.

Kash Barker, Ph.D., principal investigator and the John A. Myers Professor in the School of Industrial and Systems Engineering, Gallogly College of Engineering, is leading a team of researchers examining indirect attacks targeting infrastructure systems via unwitting users.

"We’ve seen an increase in the number of incidents of false claims in recent years, and studies suggest that a majority of online users tend to be initially fooled by fake news,” Barker said. “A potentially over-the-horizon problem could occur when these incidents are weaponized by an adversary against America’s infrastructure networks.”

Disinformation can be weaponized to disrupt underlying cyber-physical systems, human lives and economic productivity. Recent examples include tweets that trigger spikes in gasoline prices and false social media posts reporting impending water pumping station shutdowns due to cold temperatures. In these scenarios, chaos is caused because people, not systems or devices, are “hacked.”

"Certain utility companies are now using demand response management systems that allow consumers to play a role in the operation of the electric grid by shifting or reducing their usage,” Barker said. “You can imagine a situation where an adversary sends out information claiming that the electric company is giving away free power during the hottest hours of the day and enticing customers to use as much power as they’d like. This would likely overload the grid’s capacity and cause major problems.”

To combat these weaponized false claims, the researchers will examine the information layer – social media platforms, individual user interactions, etc., and the physical layer – utilities, transportation networks, and other critical infrastructure. Both layers are intrinsically linked but are also separately vulnerable to potential attacks.

“We can imagine a weaponized false claim attack through the information layer that causes humans to respond in a way that adversely alters the performance of the physical layer,” Barker said. “To combat these attacks and ensure secure cyber-physical systems, we must be able to offer a plan for integrating our research with the educational mission at our universities.”

Barker’s team will work with industry partners throughout this project to bring real-world insights into the research and disseminate findings. Additionally, they anticipate providing outreach activities for undergraduate and graduate students pursuing cyber-physical systems education and research. They are also planning educational offerings for the broader community.

Barker and his co-principal investigators, Andrés González, Ph.D., an assistant professor in the School of Industrial and Systems Engineering, Elena Bessarabova, Ph.D., an associate professor of communication in the Dodge Family College of Arts and Sciences, and Sridhar Radhakrishnan, Ph.D., a professor and the interim associate dean for partnerships for the Gallogly College of Engineering, received a supply chain research seed grant in 2022 for their project, “Securing Critical Networks from Weaponized Disinformation Attacks: Initial Surveys;” a precursor to this NSF-awarded research. John Jiang, Ph.D., a professor and the OG&E Endowed Chair Professor in the School of Electrical and Computer Engineering, while not involved in the seed grant, is also assisting on the NSF project, as are collaborators from Rutgers University, Stevens Institute of Technology, and Washington University in St. Louis.

Learn more about the project,” SaTC: CORE: Small: Socio-Technical Approaches for Securing Cyber-Physical Systems from False Claim Attacks Managing,” and Barker’s research by visiting the Risk-Based Systems Analytics Laboratory.

Friday, July 7, 2023

Four ISE Doctoral Graduates in the 22-23 Academic Year

The OU School of ISE proudly recognizes four doctoral graduates from the 2022-2023 academic year. Our graduate scholars are vital to our academic and scholarly mission, and these four will continue to be tremendous ambassadors for OU ISE. 

Leili Soltanisehat, Ph.D. defended her dissertation, which dealt with the multi-regional, multi-industry impacts of state-level pandemic decisions, in the summer of 2022. Her research has been published in the International Journal of Production Research, Risk Analysis, Socio-economic Planning Sciences, and Computers and Industrial Engineering, among others. While a doctoral student, she served as a Visiting Assistant Professor of Data Analytics at the University of Tulsa, and she will be joining the Department of Decision and Information Sciences at UMass-Dartmouth as an Assistant Professor in the fall of 2023. 

Reza Alizadeh Kordabad, Ph.D. received OU’s 2023 Best Dissertation in Science and Engineering for his work on managing computational complexity through partitioning, approximation, and coordination. Reza has been active in publishing his work in journals such as Research in Engineering Design, Advanced Engineering Informatics, and Artificial Intelligence in Engineering Design and Management. Reza is currently a Visiting Assistant Professor of Data Analytics at the University of Tulsa. 

Md Manjurul Ahsan, Ph.D. defended his dissertation, which dealt with data balancing approaches in defect, failure, and pattern analysis applied to healthcare imaging and additive manufacturing, in the spring of 2023. His research has been published Artificial Intelligence in Medicine, Healthcare, and IEEE Access, as well as in several edited books. Manjurul is currently employed as a post-doctoral scholar in the Department of Radiology at the Northwestern University School of Medicine. 

Saeed Jamalzadeh, Ph.D. defended his dissertation in the spring of 2023. His work, which deals with the weaponization of disinformation and its potential to impact infrastructure systems, has been published in Scientific Reports, with several more contributions under review. While a doctoral student, Saeed served as a co-op with Bayer Corporation in Minneapolis, MN, and he is now employed at Bayer full time as a data scientist.




Monday, June 26, 2023

High School Students Hosted by OU ISE

OU ISE professor Kash Barker, with the help of ISE sophomore Sandy Vo and ISE doctoral student June Lee, hosted 25 high school students on Saturday, June 24, 2023. The future engineers learned about the ISE profession, the diversity of career fields they may find, and several tools and methods that ISEs employ. They also participated in interactive games introducing concepts network optimization and simulation. 





Thursday, June 1, 2023

Visual Analytics Research Project Aims to Improve Supply Chain Resiliency

Andrés D. González
A new research effort led by the University of Oklahoma and funded by the Defense Advanced Research Projects Agency, or DARPA, will develop a visual analytics system to help Department of Defense decision makers understand the different types of risks associated with the global supply chain networks, the various actions that can be taken to protect the interests of national security, and ways to withstand and recover from any supply chain disruptions as quickly as possible.

Recent events like the COVID-19 pandemic have made apparent how supply chain networks are an essential yet vulnerable necessity for how resources, goods and services move around the globe.

“Everything that has happened in recent years has emphasized the importance of studying supply chain networks and making those more resilient to a broad range of disruptions, as well as more adaptable to new technologies,” said Andrés D. González, Ph.D., assistant professor in the School of Industrial and Systems Engineering, Gallogly College of Engineering at OU and the principal investigator of the study.

“For example, COVID-19 caused significant cascading failures, where in diverse circumstances, a delay or a disruption in one of the functions from a single supplier propagated globally throughout the entire supply chain network and had effects in multiple regions and industries,” he added. “Many of these failures were caused by mechanisms that had never been observed before in history, and the depth and complexity of their effects were not adequately foreseen, thus inspiring the type of work we’re doing.”

González, who is also an affiliate faculty in the data science and analytics program in the Gallogly College of Engineering at OU, is leading an interdisciplinary team composed of experts spanning economics, industrial and systems engineering, and computer science, as well as aerospace and mechanical engineering, among others. González is also working with OU’s Data Institute for Societal Challenges and Oklahoma Aerospace and Defense Innovation Institute, whose executive director, retired Lt. Gen. Gene Kirkland, observed that this effort is “yet another example of emerging partnerships between academic colleges and university-wide centers to advance OU’s research in support of national security challenges.” 

Over the course of the four-year $3.7 million project, the research team plans to create an extensive computational and visual analytic environment using state-of-the-art modeling and predictive techniques, along with visualizations such as spatiotemporal graphs, charts and maps, to identify vulnerabilities and patterns that can help to better understand and evaluate the interactions and interdependencies between different components in supply-demand systems. 

“First, we need to gain adequate supply chain visibility and understand the complex regional and global supply-demand networks, their structures and dynamical properties, using novel data-driven system identification techniques based on multiple data sources such as contracts, partnerships, and flow of commodities and information,” González said. “Once a good understanding of supply chain network structure and dynamics has been achieved, it is critical to develop advanced models for supplier survivability prediction, risk quantification and propagation, and resilience-based mitigation, preparedness and recovery actions.”

By integrating those components within a visual analytics environment, researchers and practitioners will have a framework that can show not only visual representations of existing supply-demand networks but also provide significant insights and actionable information for stakeholders and decision makers. 

“A strong visual analytics environment can provide valuable information into what-if scenarios associated with a diverse range of disruptions, as well as pre- and post-event policies,” González said. “For example, what if we had another pandemic? What would be the effect of increasing tributary duties in a particular industry? Or, what if there is some political issue that affects some trade deal? The idea is to learn how people make decisions and how that can also give information to mathematical models to improve their predictive power. 

“It is also very important to understand the effect that other countries have on the performance of supply chain networks in the U.S., so having an understanding of this will enable us to make better decisions to reduce vulnerabilities, enhance our resilience, and improve cooperation as well,” he added.

by Chelsea Julian

Friday, May 26, 2023

Kash Barker Honored as Fellow by the Institute of Industrial and Systems Engineers

Kash Barker, a professor at the University of Oklahoma's School of Industrial and Systems Engineering, was honored as a Fellow, Class of 2023, by the Institute of Industrial and Systems Engineers at the National Conference held May 20-23 in New Orleans. 

The IISE Fellow award recognizes outstanding leaders in the profession who have made significant, nationally recognized contributions to the field of industrial and systems engineering. 

Barker was unable to attend the conference due to fulfillment of his duties as a Fulbright U.S. Scholar Fellow. He was selected for the Fulbright Finland Foundation's Seeking Solutions for Global Challenges program and is completing his five month assignment at Aalto University in Finland.

Barker earned his bachelor and master's degrees in industrial engineering from OU and his doctorate in systems engineering from the University of Virginia. His research focuses on the areas of risk and reliability analysis, systems engineering and analytics. 

https://www.iise.org/Details.aspx?id=50528


OU Capstone Team Participates in IISE Conference

OU ISE capstone students, and recent B.S. graduates, Matthew Brooks, Avery Dickinson, and Megan Khoury, were selected to represent the School of ISE at the 2023 IISE Annual Conference and Expo in New Orleans, LA in May. Their poster was among the top 13 capstone groups presenting at the conference. 

Their project combined lean methodologies, project management, and ISE principles to conduct a post-SAP implementation analysis for Belcan Consulting. Their analysis concluded that, upon implementation of the team’s recommendations, Belcan can expect to save $113,000 per implementation. 

Sunday, May 21, 2023

ISE Faculty Members Awarded ICAST/DISC Seed Grant

Kash Barker, Ph.D. and Andrés González, Ph.D., faculty members in the OU School of Industrial and Systems Engineering, along with collaborator Chie Noyori-Corbett, Ph.D. in the Zarrow School of Social Work, were awarded a $25,513 seed grant from the OU Institute for Community and Society Transformation (ICAST) and the Data Institute for Societal Challenges (DISC). One of seven such funded projects, their one-year project is entitled “Temporal Networks of Environmental Refugee Resettlement.” This project will develop a novel temporal network optimization model that reflects the optimal flow of refugees from origin to host locations, and expand such a baseline model with parameters and constraints reflective of the social science-driven characteristics of equitable decision-making, location integration and dynamics, and different decision-making perspectives to equip local communities to prepare for a larger global scale human migration due to climate change. The announcement from ICAST can be found here: 

https://ou.edu/icast/news-events/2023/seven-multidisciplinary-projects-receive-seed-funding-grants.