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Staying one step ahead of cyberattackers with AI to protect smart grids

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Researchers at the University of Missouri’s College of Engineering are taking on a critical challenge: protecting power grids from the rising threat of cyberattacks. These attacks have the potential to plunge millions into darkness, jeopardizing security and even lives.

While utilities have made strides in defense after numerous past attacks, cybercriminals are constantly evolving their tactics. That’s why Mizzou is stepping up, aiming to stay ahead in this high-stakes digital arms race.

“Current grid operators rely on outdated security measures like firewalls and antivirus software, which are ineffective against sophisticated, modern attacks,” Prasad Calyam, Curators’ Distinguished Professor of Electrical Engineering and Computer Science, said. “What’s needed is a cybersecurity framework that uses real-time knowledge to predict and detect targeted attacks, along with active defense strategies that mitigate cyberattacks effectively.”

Calyam, the director of the Mizzou Cyber Education, Research and Infrastructure (CERI) Center, led a team to develop this system. The researchers focused their attention on inverter-based resources (IBRs), systems that connect renewable energy sources to the electric grid. Because they are connected to the internet for information sharing and network control purposes, IBRs are particularly vulnerable to cyberattacks, which could disrupt the grid, damage equipment or steal data.

“IBRs’ exposure to the internet creates more attack surfaces,” Calyam said. “They have different layers—network, communication and hardware—which can each be targeted in various ways.”

Predicting cyberattacks with accuracy

The system Calyam and his colleagues developed to improve the cybersecurity of IBRs is called “CIBR-Fort.” It employs advanced technology like large language models (LLMs) and knowledge graphs to spot unusual behavior, detect risks and act quickly.

CIBER-Fort can predict cyberattacks with 91.88% accuracy and its knowledge base is designed to continue growing by adding new types of attacks. This helps ensure future evolving threats can be predicted and mitigated.

“The system, which is based on a cloud platform, can quickly respond to threats in real-time, with an average response time of 40 milliseconds per data flow,” said Roshan Lal Neupane, a cyberinfrastructure engineer at CERI and co-author on the paper.

CIBR-Fort not only helps to detect cyberattacks but also has capabilities to defend against them by redirecting attack traffic, using decoys and analyzing the attacker’s actions to find ways to stop them.

“Interactive systems respond to the attacker’s actions—opening files or folders that seem real—effectively tricking attackers and wasting their time,” said Vamsi Pusapati, one of the paper’s co-authors and a graduate student pursuing his master’s in computer science at Mizzou.

The innovative and constantly evolving CIBR-Fort system enables scalable security for power grids of the future.

The team will present their findings at the 2025 Institute of Electrical and Electronics Engineers/International Federation for Information Processing Network Operations and Management Symposium.

Provided by
University of Missouri


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Staying one step ahead of cyberattackers with AI to protect smart grids (2025, February 26)
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